Commit Graph

573 Commits

Author SHA1 Message Date
Sofie Van Landeghem
75a202ce65
TextCat updates and fixes (#6263)
* small fix in example imports

* throw error when train_corpus or dev_corpus is not a string

* small fix in custom logger example

* limit macro_auc to labels with 2 annotations

* fix typo

* also create parents of output_dir if need be

* update documentation of textcat scores

* refactor TextCatEnsemble

* fix tests for new AUC definition

* bump to 3.0.0a42

* update docs

* rename to spacy.TextCatEnsemble.v2

* spacy.TextCatEnsemble.v1 in legacy

* cleanup

* small fix

* update to 3.0.0rc2

* fix import that got lost in merge

* cursed IDE

* fix two typos
2020-10-18 14:50:41 +02:00
svlandeg
44e14ccae8 one more losses fix 2020-10-14 15:11:34 +02:00
svlandeg
0aa8851878 always return losses 2020-10-14 15:00:49 +02:00
svlandeg
68d79796c6 add test for vocab after serializing KB 2020-10-10 20:59:48 +02:00
Ines Montani
bfa3931c9d
Revert added_strings change (#6236) 2020-10-10 18:55:07 +02:00
Adriane Boyd
39aabf50ab Also rename to include_static_vectors in CharEmbed 2020-10-09 11:54:48 +02:00
Sofie Van Landeghem
d093d6343b
TrainablePipe (#6213)
* rename Pipe to TrainablePipe

* split functionality between Pipe and TrainablePipe

* remove unnecessary methods from certain components

* cleanup

* hasattr(component, "pipe") should be sufficient again

* remove serialization and vocab/cfg from Pipe

* unify _ensure_examples and validate_examples

* small fixes

* hasattr checks for self.cfg and self.vocab

* make is_resizable and is_trainable properties

* serialize strings.json instead of vocab

* fix KB IO + tests

* fix typos

* more typos

* _added_strings as a set

* few more tests specifically for _added_strings field

* bump to 3.0.0a36
2020-10-08 21:33:49 +02:00
Ines Montani
064575d79d
Merge pull request #6216 from svlandeg/feature/nel-initialize 2020-10-08 11:14:12 +02:00
svlandeg
eaf5c265cb set_kb method for entity_linker 2020-10-08 10:34:01 +02:00
Ines Montani
010956d493 Clear rule-based components on initialize 2020-10-08 09:51:31 +02:00
svlandeg
33c2d4af16 move kb_loader to initialize for NEL instead of constructor 2020-10-07 14:56:00 +02:00
svlandeg
ff9ac39c88 read entity_ruler patterns with srsly.read_jsonl.v1 2020-10-05 22:50:14 +02:00
svlandeg
193e0d5a98 add docs for entity_ruler.initialize 2020-10-05 18:04:08 +02:00
svlandeg
9eb813a35d Merge remote-tracking branch 'upstream/develop' into fix/patterns-init 2020-10-05 17:49:44 +02:00
svlandeg
4e3ace4b8c is_trainable method 2020-10-05 17:43:42 +02:00
svlandeg
65abd77779 add finish_update to Pipe 2020-10-05 16:23:33 +02:00
svlandeg
251b3eb4e5 add initialize method for entity_ruler 2020-10-05 14:59:13 +02:00
Sofie Van Landeghem
f4f49f5877
update blis (#6198)
* allow higher blis version

* fix typo

* bump to 3.0.0a34

* fix pins in other files
2020-10-05 14:58:56 +02:00
Ines Montani
11347f34da Tidy up, tests and docs 2020-10-04 13:54:05 +02:00
Matthew Honnibal
96b636c2d3 Update attribute ruler 2020-10-04 13:08:21 +02:00
Ines Montani
bcd52e5486 Tidy up errors and warnings 2020-10-04 11:16:31 +02:00
Ines Montani
d3b3663942 Adjust error message and add test 2020-10-04 10:11:27 +02:00
Ines Montani
cc08c88a89
Merge pull request #6187 from svlandeg/fix/begin_training_pipe 2020-10-04 10:01:02 +02:00
svlandeg
3f657ed3a1 implement warning in __init_subclass__ instead 2020-10-03 22:34:10 +02:00
Matthew Honnibal
3b2a78720c Upd morphologizer 2020-10-03 19:35:19 +02:00
Matthew Honnibal
4fccd2ceaf Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-10-03 19:13:55 +02:00
Matthew Honnibal
8ea8b7d940 Support loading labels in morphologizer 2020-10-03 19:13:42 +02:00
Ines Montani
80603f0fa5 Make SentenceRecognizer.label_data return None
Overwrite the method from the base class (Tagger) but don't export anything in "init labels"
2020-10-03 18:54:09 +02:00
Ines Montani
3bc3c05fcc Tidy up and auto-format 2020-10-03 17:20:18 +02:00
Ines Montani
dd542ec6a4
Fix label initialization of textcat component (#6190) 2020-10-03 17:07:38 +02:00
Ines Montani
f0b30aedad
Make lemmatizers use initialize logic (#6182)
* Make lemmatizer use initialize logic and tidy up

* Fix typo

* Raise for uninitialized tables
2020-10-02 15:42:36 +02:00
Adriane Boyd
86c3ec9c2b
Refactor Token morph setting (#6175)
* Refactor Token morph setting

* Remove `Token.morph_`
* Add `Token.set_morph()`
  * `0` resets `token.c.morph` to unset
  * Any other values are passed to `Morphology.add`

* Add token.morph setter to set from MorphAnalysis
2020-10-01 22:21:46 +02:00
Ines Montani
f2627157c8 Update docs [ci skip] 2020-10-01 17:38:17 +02:00
Ines Montani
b799af16de Don't raise in Pipe.initialize if not implemented 2020-09-30 00:05:27 +02:00
Ines Montani
fa47f87924 Tidy up and auto-format 2020-09-29 21:39:28 +02:00
Matthew Honnibal
a4da3120b4 Fix multitasks 2020-09-29 18:33:16 +02:00
Matthew Honnibal
0b5c72fce2 Fix incorrect docstrings 2020-09-29 18:30:38 +02:00
Matthew Honnibal
e4f535a964 Fix Pipe.labels 2020-09-29 16:55:07 +02:00
Matthew Honnibal
1fd002180e Allow more components to use labels 2020-09-29 16:48:56 +02:00
Matthew Honnibal
99bff78617 Use labels in tagger 2020-09-29 16:48:44 +02:00
Matthew Honnibal
58c8d4b414 Add label_data property to pipeline 2020-09-29 16:22:13 +02:00
Ines Montani
f171903139 Clean up sgd and pipeline -> nlp 2020-09-29 12:20:26 +02:00
Ines Montani
42f0e4c946 Clean up 2020-09-29 12:14:08 +02:00
Matthew Honnibal
9c8b2524fe Upd initialize args 2020-09-29 12:08:37 +02:00
Matthew Honnibal
f2d1b7feb5 Clean up sgd 2020-09-29 12:00:08 +02:00
Ines Montani
dec984a9c1 Update Language.initialize and support components/tokenizer settings 2020-09-29 11:52:45 +02:00
Matthew Honnibal
b3b6868639 Remove 'sgd' arg from component initialize 2020-09-29 11:42:35 +02:00
Ines Montani
ff9a63bfbd begin_training -> initialize 2020-09-28 21:35:09 +02:00
Adriane Boyd
6c25e60089 Simplify string match IDs for AttributeRuler 2020-09-26 11:12:39 +02:00
Matthew Honnibal
702edf52a0 Fix attributeruler 2020-09-26 00:30:48 +02:00
Matthew Honnibal
821f37254c Fix attributeruler 2020-09-26 00:19:53 +02:00
Matthew Honnibal
98327f66a9 Fix attributeruler key 2020-09-25 23:20:50 +02:00
Matthew Honnibal
16475528f7
Fix skipped documents in entity scorer (#6137)
* Fix skipped documents in entity scorer

* Add back the skipping of unannotated entities

* Update spacy/scorer.py

* Use more specific NER scorer

* Fix import

* Fix get_ner_prf

* Add scorer

* Fix scorer

Co-authored-by: Ines Montani <ines@ines.io>
2020-09-24 20:38:57 +02:00
Ines Montani
0b52b6904c Update entity_linker.py 2020-09-24 17:10:35 +02:00
Adriane Boyd
59340606b7
Add option to disable Matcher errors (#6125)
* Add option to disable Matcher errors

* Add option to disable Matcher errors when a doc doesn't contain a
particular type of annotation

Minor additional change:

* Update `AttributeRuler.load_from_morph_rules` to allow direct `MORPH`
values

* Rename suppress_errors to allow_missing

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>

* Refactor annotation checks in Matcher and PhraseMatcher

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-24 16:54:39 +02:00
Sofie Van Landeghem
c7eedd3534
updates to NEL functionality (#6132)
* NEL: read sentences and ents from reference

* fiddling with sent_start annotations

* add KB serialization test

* KB write additional file with strings.json

* score_links function to calculate NEL P/R/F

* formatting

* documentation
2020-09-24 16:53:59 +02:00
Ines Montani
ae51f580c1 Fix handling of score_weights 2020-09-24 10:27:33 +02:00
svlandeg
dd2292793f 'parser' instead of 'deps' for state_type 2020-09-23 16:53:49 +02:00
svlandeg
6c85fab316 state_type and extra_state_tokens instead of nr_feature_tokens 2020-09-23 13:35:09 +02:00
Sofie Van Landeghem
d53c84b6d6
avoid None callback (#6100) 2020-09-22 13:54:44 +02:00
svlandeg
781fae678b Merge remote-tracking branch 'upstream/develop' into fix/corpus 2020-09-17 09:24:36 +02:00
Adriane Boyd
7e4cd7575c
Refactor Docs.is_ flags (#6044)
* Refactor Docs.is_ flags

* Add derived `Doc.has_annotation` method

  * `Doc.has_annotation(attr)` returns `True` for partial annotation

  * `Doc.has_annotation(attr, require_complete=True)` returns `True` for
    complete annotation

* Add deprecation warnings to `is_tagged`, `is_parsed`, `is_sentenced`
and `is_nered`

* Add `Doc._get_array_attrs()`, which returns a full list of `Doc` attrs
for use with `Doc.to_array`, `Doc.to_bytes` and `Doc.from_docs`. The
list is the `DocBin` attributes list plus `SPACY` and `LENGTH`.

Notes on `Doc.has_annotation`:

* `HEAD` is converted to `DEP` because heads don't have an unset state

* Accept `IS_SENT_START` as a synonym of `SENT_START`

Additional changes:

* Add `NORM`, `ENT_ID` and `SENT_START` to default attributes for
`DocBin`

* In `Doc.from_array()` the presence of `DEP` causes `HEAD` to override
`SENT_START`

* In `Doc.from_array()` using `attrs` other than
`Doc._get_array_attrs()` (i.e., a user's custom list rather than our
default internal list) with both `HEAD` and `SENT_START` shows a warning
that `HEAD` will override `SENT_START`

* `set_children_from_heads` does not require dependency labels to set
sentence boundaries and sets `sent_start` for all non-sentence starts to
`-1`

* Fix call to set_children_form_heads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-17 00:14:01 +02:00
Adriane Boyd
a119667a36
Clean up spacy.tokens (#6046)
* Clean up spacy.tokens

* Update `set_children_from_heads`:
  * Don't check `dep` when setting lr_* or sentence starts
  * Set all non-sentence starts to `False`

* Use `set_children_from_heads` in `Token.head` setter
  * Reduce similar/duplicate code (admittedly adds a bit of overhead)
  * Update sentence starts consistently

* Remove unused `Doc.set_parse`

* Minor changes:
  * Declare cython variables (to avoid cython warnings)
  * Clean up imports

* Modify set_children_from_heads to set token range

Modify `set_children_from_heads` so that it adjust tokens within a
specified range rather then the whole document.

Modify the `Token.head` setter to adjust only the tokens affected by the
new head assignment.
2020-09-16 20:32:38 +02:00
Adriane Boyd
f3db3f6fe0
Add vectors option to CharacterEmbed (#6069)
* Add vectors option to CharacterEmbed

* Update spacy/pipeline/morphologizer.pyx

* Adjust default morphologizer config

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-16 17:45:04 +02:00
Adriane Boyd
d722a439aa
Remove unneeded methods in senter and morphologizer (#6074)
Now that the tagger doesn't manage the tag map, the child classes senter
and morphologizer don't need to override the serialization methods.
2020-09-16 17:39:41 +02:00
svlandeg
714a5a05c6 test for custom readers with ml_datasets >= 0.2 2020-09-16 16:39:55 +02:00
Sofie Van Landeghem
3216a33149
positive_label config for textcat (#6062)
* hook up positive_label in textcat

* unit tests

* documentation

* formatting

* tests

* fix typo

* move verify_config to after begin_training

* revert accidential commit
2020-09-14 17:08:00 +02:00
Sofie Van Landeghem
744df9814a
define threshold for scoring textcat in TextCat config (#6055)
* define threshold for scoring textcat in TextCat config

* fix unit test and documentation
2020-09-13 14:15:52 +02:00
Sofie Van Landeghem
cb66ea7400
Remove simple_ner code (#6041)
* remove simple_ner code

* remove unused _biluo and _iob files
2020-09-09 16:11:27 +02:00
Sofie Van Landeghem
8e7557656f
Renaming gold & annotation_setter (#6042)
* version bump to 3.0.0a16

* rename "gold" folder to "training"

* rename 'annotation_setter' to 'set_extra_annotations'

* formatting
2020-09-09 10:31:03 +02:00
Sofie Van Landeghem
60f22e1800
Pipe API (#6034)
* ensure Language passes on valid examples for initialization

* fix tagger model initialization

* check for valid get_examples across components

* assume labels were added before begin_training

* fix senter initialization

* fix morphologizer initialization

* use methods to check arguments

* test textcat init, requires thinc>=8.0.0a31

* fix tok2vec init

* fix entity linker init

* use islice

* fix simple NER

* cleanup debug model

* fix assert statements

* fix tests

* throw error when adding a label if the output layer can't be resized anymore

* fix test

* add failing test for simple_ner

* UX improvements

* morphologizer UX

* assume begin_training gets a representative set and processes the labels

* remove assumptions for output of untrained NER model

* restore test for original purpose
2020-09-08 22:44:25 +02:00
Matthew Honnibal
dae22f3dfa Fix ignoring of punct labels 2020-09-05 14:11:59 +02:00
Ines Montani
864a697e63 Merge branch 'develop' into master-tmp 2020-09-04 13:15:36 +02:00
Ines Montani
ab1bb421ed Update docs links in codebase 2020-09-04 12:58:50 +02:00
Ines Montani
5afe6447cd registry.assets -> registry.misc 2020-09-03 17:31:14 +02:00
Matthew Honnibal
737a1408d9 Improve implementation of fix #6010
Follow-ups to the parser efficiency fix.

* Avoid introducing new counter for number of pushes
* Base cut on number of transitions, keeping it more even
* Reintroduce the randomization we had in v2.
2020-09-02 14:42:32 +02:00
Matthew Honnibal
c1bf3a5602
Fix significant performance bug in parser training (#6010)
The parser training makes use of a trick for long documents, where we
use the oracle to cut up the document into sections, so that we can have
batch items in the middle of a document. For instance, if we have one
document of 600 words, we might make 6 states, starting at words 0, 100,
200, 300, 400 and 500.

The problem is for v3, I screwed this up and didn't stop parsing! So
instead of a batch of [100, 100, 100, 100, 100, 100], we'd have a batch
of [600, 500, 400, 300, 200, 100]. Oops.

The implementation here could probably be improved, it's annoying to
have this extra variable in the state. But this'll do.

This makes the v3 parser training 5-10 times faster, depending on document
lengths. This problem wasn't in v2.
2020-09-02 12:57:13 +02:00
Matthew Honnibal
4cce32f090 Fix tagger initialization 2020-09-01 16:38:34 +02:00
Adriane Boyd
9130094199
Prevent Tagger model init with 0 labels (#5984)
* Prevent Tagger model init with 0 labels

Raise an error before trying to initialize a tagger model with 0 labels.

* Add dummy tagger label for test

* Remove tagless tagger model initializiation

* Fix error number after merge

* Add dummy tagger label to test

* Fix formatting

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-31 21:24:33 +02:00
Sofie Van Landeghem
ec14744ee4
Rename Transformer listener (#6001)
* rename to spacy-transformers.TransformerListener

* add some more tok2vec tests

* use select_pipes

* fix docs - annotation setter was not changed in the end
2020-08-31 12:41:39 +02:00
Ines Montani
45f46a5c85
Merge pull request #5993 from explosion/feature/disabled-components 2020-08-29 15:58:41 +02:00
Ines Montani
34146750d4 Use frozen list with custom errors
We don't want to break backwards compatibility too much but we also want to provide the best possible UX
2020-08-29 15:20:11 +02:00
Ines Montani
2bc31e15c9 Tidy up and auto-format [ci skip] 2020-08-29 13:01:10 +02:00
Ines Montani
f45095a666
Merge pull request #5995 from adrianeboyd/bugfix/attribute-ruler-bugfixes 2020-08-29 12:38:30 +02:00
Matthew Honnibal
58f19421b1 Return empty batch from tok2vec listener if no doc.tensor 2020-08-29 03:46:50 +02:00
Adriane Boyd
0104bd1600 Sort the AttributeRuler matches by rule order
Sort the returned matches by rule order (the `match_id`) so that the
rules are applied in the order they were added. This is necessary, for
instance, if the `AttributeRuler` is used for the tag map and later
rules require POS tags.
2020-08-28 21:01:06 +02:00
Adriane Boyd
8674b17651 Serialize AttributeRuler.patterns
Serialize `AttributeRuler.patterns` instead of the individual lists to
simplify the serialized and so that patterns are reloaded exactly as
they were originally provided (preserving `_attrs_unnormed`).
2020-08-28 20:44:45 +02:00
Matthew Honnibal
d3ffe4ca63 Fix error when tagger was initialized with no labels 2020-08-27 18:56:58 +02:00
Matthew Honnibal
95adb58f15 Force tagger to pass batch of docs into model in begin_training 2020-08-27 03:21:03 +02:00
Adriane Boyd
90d88729e0
Add AttributeRuler.score (#5963)
* Add AttributeRuler.score

Add scoring for TAG / POS / MORPH / LEMMA if these are present in the
assigned token attributes.

Add default score weights (that don't really make a lot of sense) so
that the scores are in the default config in some form.

* Update docs
2020-08-26 15:39:30 +02:00
Sofie Van Landeghem
79d460e3a2
Weights & Biases logger for train CLI (#5971)
* quick test as part of train script

* train_logger in config, default ConsoleLogger in loggers catalogue

* entitiy typo

* add wandb_logger

* cleanup

* Update spacy/cli/train_logger.py

Co-authored-by: Ines Montani <ines@ines.io>

* move loggers to gold.loggers

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-26 15:24:33 +02:00
Sofie Van Landeghem
358cbb21e3
Define candidate generator in EL config (#5876)
* candidate generator as separate part of EL config

* update comment

* ent instead of str as input for candidate generation

* Span instead of str: correct type indication

* fix types

* unit test to create new candidate generator

* fix replace_pipe argument passing

* move error message, general cleanup

* add vocab back to KB constructor

* provide KB as callable from Vocab arg

* rename to kb_loader, fix KB serialization as part of the EL pipe

* fix typo

* reformatting

* cleanup

* fix comment

* fix wrongly duplicated code from merge conflict

* rename dump to to_disk

* from_disk instead of load_bulk

* update test after recent removal of set_morphology in tagger

* remove old doc
2020-08-18 16:10:36 +02:00
Ines Montani
8128e5eb35 Replace lexeme_norm warning with logging 2020-08-14 15:00:52 +02:00
Ines Montani
e4d0990857 Only receive from listener if listener exists 2020-08-14 14:58:48 +02:00
Adam Bittlingmayer
7b33b2854f
Add Armenian sentence-final verchaket, Greek question mark and Arabic question mark to default punct (#5910)
* Add Armenian sentence-final verchaket

* Add Greek and Arabic question marks, and contributor agreement

* Check box
2020-08-12 15:36:14 +02:00
graue70
49e690bde1
Fix typos in comments (#5904)
* Fix typo in comment

* Fix typo

* Add spaCy Contributor Agreement
2020-08-12 15:35:25 +02:00
graue70
ba84371ab0
Use init parameter (#5909) 2020-08-11 23:41:58 +02:00
Ines Montani
950832f087
Tidy up pipes (#5906)
* Tidy up pipes

* Fix init, defaults and raise custom errors

* Update docs

* Update docs [ci skip]

* Apply suggestions from code review

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>

* Tidy up error handling and validation, fix consistency

* Simplify get_examples check

* Remove unused import [ci skip]

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-11 23:29:31 +02:00
Ines Montani
f79e4c094d Remove generic type
Seems to cause error on Python 3.8 with Cython?
2020-08-10 17:24:30 +02:00
Ines Montani
64f2f84098 Update docstrings and docs [ci skip] 2020-08-10 13:45:22 +02:00
Ines Montani
a4b448eec4 Remove unused compiler flag 2020-08-10 13:13:18 +02:00
Ines Montani
3eaeb73342 Tidy up and auto-format 2020-08-09 22:36:23 +02:00
Ines Montani
d5c78c7a34 Update docs and fix consistency 2020-08-09 22:31:52 +02:00
Ines Montani
7c6854d8d4 Fix missing imports 2020-08-09 22:28:29 +02:00
Ines Montani
a15c5fb191 Update docstrings and docs 2020-08-09 16:10:48 +02:00
Matthew Honnibal
134d933d67 Add docstring for entity linker factory 2020-08-09 15:19:28 +02:00
Matthew Honnibal
992ee1c02f Update tagger docstring 2020-08-09 15:09:31 +02:00
Matthew Honnibal
ebf9a7acbf Add textcat docstring 2020-08-09 15:07:09 +02:00
Matthew Honnibal
bbd8acd4bf Add docstrings for parser and NER. Simplify some arguments 2020-08-09 14:46:13 +02:00
Matthew Honnibal
39a3d64c01 Add docstrings for Tok2Vec component 2020-08-09 00:48:03 +02:00
Ines Montani
fe29ceec9e Merge branch 'develop' into docs/model-docstrings 2020-08-07 18:42:01 +02:00
Ines Montani
3a193eb8f1 Fix imports, types and default configs 2020-08-07 18:40:54 +02:00
Ines Montani
6f3649923c
Merge pull request #5893 from explosion/feature/validate-arg 2020-08-07 15:47:20 +02:00
Adriane Boyd
e962784531
Add Lemmatizer and simplify related components (#5848)
* Add Lemmatizer and simplify related components

* Add `Lemmatizer` pipe with `lookup` and `rule` modes using the
`Lookups` tables.
* Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma)
* Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer,
or morph rules)
* Remove lemmatizer from `Vocab`
* Adjust many many tests

Differences:

* No default lookup lemmas
* No special treatment of TAG in `from_array` and similar required
* Easier to modify labels in a `Tagger`
* No extra strings added from morphology / tag map

* Fix test

* Initial fix for Lemmatizer config/serialization

* Adjust init test to be more generic

* Adjust init test to force empty Lookups

* Add simple cache to rule-based lemmatizer

* Convert language-specific lemmatizers

Convert language-specific lemmatizers to component lemmatizers. Remove
previous lemmatizer class.

* Fix French and Polish lemmatizers

* Remove outdated UPOS conversions

* Update Russian lemmatizer init in tests

* Add minimal init/run tests for custom lemmatizers

* Add option to overwrite existing lemmas

* Update mode setting, lookup loading, and caching

* Make `mode` an immutable property
* Only enforce strict `load_lookups` for known supported modes
* Move caching into individual `_lemmatize` methods

* Implement strict when lang is not found in lookups

* Fix tables/lookups in make_lemmatizer

* Reallow provided lookups and allow for stricter checks

* Add lookups asset to all Lemmatizer pipe tests

* Rename lookups in lemmatizer init test

* Clean up merge

* Refactor lookup table loading

* Add helper from `load_lemmatizer_lookups` that loads required and
optional lookups tables based on settings provided by a config.

Additional slight refactor of lookups:

* Add `Lookups.set_table` to set a table from a provided `Table`
* Reorder class definitions to be able to specify type as `Table`

* Move registry assets into test methods

* Refactor lookups tables config

Use class methods within `Lemmatizer` to provide the config for
particular modes and to load the lookups from a config.

* Add pipe and score to lemmatizer

* Simplify Tagger.score

* Add missing import

* Clean up imports and auto-format

* Remove unused kwarg

* Tidy up and auto-format

* Update docstrings for Lemmatizer

Update docstrings for Lemmatizer.

Additionally modify `is_base_form` API to take `Token` instead of
individual features.

* Update docstrings

* Remove tag map values from Tagger.add_label

* Update API docs

* Fix relative link in Lemmatizer API docs
2020-08-07 15:27:13 +02:00
Ines Montani
fc9a4fe827 Update attribute ruler 2020-08-07 14:43:55 +02:00
Ines Montani
a8404c3517 validation -> validate 2020-08-07 14:43:47 +02:00
Adriane Boyd
b8d0c23857 Add AttributeRuler API docs
With additional minor updates to AttributeRuler docstrings.
2020-08-07 12:43:23 +02:00
Adriane Boyd
06c3a5e048
Add pipe to AttributeRuler (#5889) 2020-08-06 19:43:09 +02:00
Ines Montani
9b7f198390 Fix format 2020-08-06 19:30:53 +02:00
Ines Montani
56c17973aa Use "raise ... from" in custom errors for better tracebacks 2020-08-05 23:53:21 +02:00
Ines Montani
586d695775 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-08-05 16:01:11 +02:00
Ines Montani
e68459296d Tidy up and auto-format 2020-08-05 16:00:59 +02:00
Matthew Honnibal
b9df4d6116 Fix textcat.begin_training if vectors set 2020-08-05 15:40:36 +02:00
Adriane Boyd
af125875cf
Update SimpleNER (#5878)
* Fix `get_loss` to use NER annotation
* Add labels as part of cfg
* Add simple overfitting test
2020-08-05 14:43:29 +02:00
Sofie Van Landeghem
34873c4911
Example Dict format consistency (#5858)
* consistently use upper-case IDS in token_annotation format and for get_aligned

* remove ID from to_dict (not used in from_dict either)

* fix test

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-04 22:22:26 +02:00
Adriane Boyd
fa79a0db9f
Add AttributeRuler for token attribute exceptions (#5842)
* Add AttributeRuler for token attribute exceptions

Add the `AttributeRuler` to handle exceptions for token-level
attributes. The `AttributeRuler` uses `Matcher` patterns to identify
target spans and applies the specified attributes to the token at the
provided index in the matched span. A negative index can be used to
index from the end of the matched span. The retokenizer is used to
"merge" the individual tokens and assign them the provided attributes.

Helper functions can import existing tag maps and morph rules to the
corresponding `Matcher` patterns.

There is an additional minor bug fix for `MORPH` attributes in the
retokenizer to correctly normalize the values and to handle `MORPH`
alongside `_` in an attrs dict.

* Fix default name

* Update name in error message

* Extend AttributeRuler functionality

* Add option to initialize with a dict of AttributeRuler patterns

* Instead of silently discarding overlapping matches (the default
behavior for the retokenizer if only the attrs differ), split the
matches into disjoint sets and retokenize each set separately. This
allows, for instance, one pattern to set the POS and another pattern to
set the lemma. (If two matches modify the same attribute, it looks like
the attrs are applied in the order they were added, but it may not be
deterministic?)

* Improve types

* Sort spans before processing

* Fix index boundaries in Span

* Refactor retokenizer to separate attrs methods

Add top-level `normalize_token_attrs` and `set_token_attrs` methods.

* Update AttributeRuler to use refactored methods

Update `AttributeRuler` to replace use of full retokenizer with only the
relevant methods for normalizing and setting attributes for a single
token.

* Update spacy/pipeline/attributeruler.py

Co-authored-by: Ines Montani <ines@ines.io>

* Make API more similar to EntityRuler

* Add `AttributeRuler.add_patterns` to add patterns from a list of dicts
* Return list of dicts as property `AttributeRuler.patterns`

* Make attrs_unnormed private

* Add test loading patterns from assets

* Revert "Fix index boundaries in Span"

This reverts commit 8f8a5c3386.

* Add Span index boundary checks (#5861)

* Add Span index boundary checks

* Return Span-specific IndexError in all cases

* Simplify and fix if/else

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-04 17:02:39 +02:00
Sofie Van Landeghem
82347110f5
Default empty KB in EL component (#5872)
* EL field documentation

* documentation consistent with docs

* default empty KB, initialize vocab separately

* formatting

* add test for changing the default entity vector length

* update comment
2020-08-04 14:34:09 +02:00
Adriane Boyd
ac14ce7c30
Prefer earlier spans in EntityRuler (#5843)
Similar to #4414, update the sorting in EntityRuler to prefer the first
span in overlapping spans.
2020-07-31 16:09:32 +02:00
Adriane Boyd
901801b33b Fix default arguments in DependencyParser.score 2020-07-31 10:55:44 +02:00
Sofie Van Landeghem
ca491722ad
The Parser is now a Pipe (2) (#5844)
* moving syntax folder to _parser_internals

* moving nn_parser and transition_system

* move nn_parser and transition_system out of internals folder

* moving nn_parser code into transition_system file

* rename transition_system to transition_parser

* moving parser_model and _state to ml

* move _state back to internals

* The Parser now inherits from Pipe!

* small code fixes

* removing unnecessary imports

* remove link_vectors_to_models

* transition_system to internals folder

* little bit more cleanup

* newlines
2020-07-30 23:30:54 +02:00
Ines Montani
7a21775cd0
Merge pull request #5834 from explosion/feature/vectors 2020-07-29 18:49:26 +02:00
Ines Montani
b0f57a0cac Update docs and consistency 2020-07-29 15:14:07 +02:00
Matthew Honnibal
c27309f839
Merge branch 'develop' into feature/vectors 2020-07-29 14:54:10 +02:00
Ines Montani
ff0bc05da8 Fix docstrings [ci skip] 2020-07-29 14:09:37 +02:00
Ines Montani
6e2623d3f8 Fix docstring [ci skip] 2020-07-29 14:08:05 +02:00
Ines Montani
8d56260d92 Fix docstrings [ci skip] 2020-07-29 14:07:13 +02:00
Ines Montani
80b18124d2 Fix docstring [ci skip] 2020-07-29 14:03:35 +02:00
Matthew Honnibal
6a6b09bd32 Update morphologizer model 2020-07-29 14:01:12 +02:00
Matthew Honnibal
1784c95827 Clean up link_vectors_to_models unused stuff 2020-07-29 14:01:11 +02:00
Matthew Honnibal
9987ea9e4d Fix Tok2Vec begin_training 2020-07-29 14:00:10 +02:00
Ines Montani
e257e66ab9 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-07-29 11:36:45 +02:00
Ines Montani
e0ffe36e79 Update docstrings, docs and types 2020-07-29 11:36:42 +02:00
Sofie Van Landeghem
40c995b1be
Option for returning only greedy matches (#5771)
* add "greedy" option for match pattern

* distinction between greedy FIRST or LONGEST

* check for proper values, throw custom warning otherwise

* unxfail one more test

* add comment in docstring

* add test that LONGEST also prefers first match if equal length

* use c arrays for more efficient processing

* rename 'greediness' to 'greedy'
2020-07-29 11:04:43 +02:00
Ines Montani
2c7a32cf12 Remove unused methods 2020-07-28 16:50:02 +02:00
Ines Montani
ae4d8a6ffd Update docstrings, docs and pipe consistency 2020-07-28 13:37:31 +02:00
Ines Montani
894e20c466 Merge branch 'develop' into feature/component-scores 2020-07-27 18:14:39 +02:00
Ines Montani
d8b519c23c API docs, docstrings and argument consistency 2020-07-27 18:11:45 +02:00
Adriane Boyd
34c92dfe63 Add missing Scorer imports 2020-07-27 15:08:51 +02:00
Adriane Boyd
8bb0507777 Add and update score methods and score weights
Add and update `score` methods, provided `scores`, and default weights
`default_score_weights` for pipeline components.

* `scores` provides all top-level keys returned by `score` (merely informative, similar to `assigns`).
* `default_score_weights` provides the default weights for a default config.
* The keys from `default_score_weights` determine which values will be
shown in the `spacy train` output, so keys with weight `0.0` will be
displayed but not counted toward the overall score.
2020-07-27 14:44:53 +02:00
Ines Montani
ed61fb10fc Rename default textcat arch to TextCatEnsemble 2020-07-26 15:11:43 +02:00
Ines Montani
2470486543 Allow pipeline components to set default scores and weights 2020-07-26 13:18:43 +02:00
Ines Montani
787d066e22 Remove pipes.pyx
Probably accidentally re-added in a merge?
2020-07-26 13:08:52 +02:00
Ines Montani
e92df281ce Tidy up, autoformat, add types 2020-07-25 15:01:15 +02:00
Ines Montani
cdbd6ba912
Merge pull request #5798 from explosion/feature/language-data-config 2020-07-25 13:34:49 +02:00
Adriane Boyd
2bcceb80c4
Refactor the Scorer to improve flexibility (#5731)
* Refactor the Scorer to improve flexibility

Refactor the `Scorer` to improve flexibility for arbitrary pipeline
components.

* Individual pipeline components provide their own `evaluate` methods
that score a list of `Example`s and return a dictionary of scores
* `Scorer` is initialized either:
  * with a provided pipeline containing components to be scored
  * with a default pipeline containing the built-in statistical
    components (senter, tagger, morphologizer, parser, ner)
* `Scorer.score` evaluates a list of `Example`s and returns a dictionary
of scores referring to the scores provided by the components in the
pipeline

Significant differences:

* `tags_acc` is renamed to `tag_acc` to be consistent with `token_acc`
and the new `morph_acc`, `pos_acc`, and `lemma_acc`
* Scoring is no longer cumulative: `Scorer.score` scores a list of
examples rather than a single example and does not retain any state
about previously scored examples
* PRF values in the returned scores are no longer multiplied by 100

* Add kwargs to Morphologizer.evaluate

* Create generalized scoring methods in Scorer

* Generalized static scoring methods are added to `Scorer`
  * Methods require an attribute (either on Token or Doc) that is
used to key the returned scores

Naming differences:

* `uas`, `las`, and `las_per_type` in the scores dict are renamed to
`dep_uas`, `dep_las`, and `dep_las_per_type`

Scoring differences:

* `Doc.sents` is now scored as spans rather than on sentence-initial
token positions so that `Doc.sents` and `Doc.ents` can be scored with
the same method (this lowers scores since a single incorrect sentence
start results in two incorrect spans)

* Simplify / extend hasattr check for eval method

* Add hasattr check to tokenizer scoring
* Simplify to hasattr check for component scoring

* Reset Example alignment if docs are set

Reset the Example alignment if either doc is set in case the
tokenization has changed.

* Add PRF tokenization scoring for tokens as spans

Add PRF scores for tokens as character spans. The scores are:

* token_acc: # correct tokens / # gold tokens
* token_p/r/f: PRF for (token.idx, token.idx + len(token))

* Add docstring to Scorer.score_tokenization

* Rename component.evaluate() to component.score()

* Update Scorer API docs

* Update scoring for positive_label in textcat

* Fix TextCategorizer.score kwargs

* Update Language.evaluate docs

* Update score names in default config
2020-07-25 12:53:02 +02:00
Ines Montani
b9aaa4e457 Improve vocab data integration and warning 2020-07-25 11:51:30 +02:00
Adriane Boyd
038ff1a811
Improve warnings around normalization tables (#5794)
Provide more customized normalization table warnings when training a new
model. Only suggest installing `spacy-lookups-data` if it's not already
installed and it includes a table for this language (currently checked
in a hard-coded list).
2020-07-22 16:04:58 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Ines Montani
796f6c52d1 Merge branch 'develop' into pr/5767 2020-07-19 13:37:46 +02:00
Adriane Boyd
b81a89f0a9
Update morphologizer (#5766)
* update `Morphologizer.begin_training` for use with `Example`

* make init and begin_training more consistent

* add `Morphology.normalize_features` to normalize outside of
`Morphology.add`

* make sure `get_loss` doesn't create unknown labels when the POS and
morph alignments differ
2020-07-19 11:10:51 +02:00
Adriane Boyd
50db3f0cdb Serialize morph rules with tagger
Serialize `morph_rules` with the tagger alongside the `tag_map`.

Use `Morphology.load_tag_map` and `Morphology.load_morph_exceptions` to
load these settings rather than reinitializing the morphology each time
they are changed.
2020-07-17 08:22:21 +02:00
Ines Montani
5f6f4ff594 Remove object subclassing 2020-07-12 14:03:23 +02:00
Sofie Van Landeghem
dd207a28be
cleanup components API (#5726)
* add keyword separator for update functions and drop unused "state"

* few more Example tests and various small fixes

* consistently return losses after update call

* eliminate unused tensors field across pipe components

* fix name

* fix arg name
2020-07-09 19:43:39 +02:00
Adriane Boyd
ad15499b3b
Fix get_loss for values outside of labels in senter (#5730)
* Fix get_loss for None alignments in senter

When converting the `sent_start` values back to `SentenceRecognizer`
labels, handle `None` alignments.

* Handle SENT_START as -1

Handle SENT_START as -1 (or -1 converted to uint64) by treating any
values other than 1 the same as 0 in `SentenceRecognizer.get_loss`.
2020-07-09 01:41:58 +02:00
Adriane Boyd
c9f0f75778
Update get_loss for senter and morphologizer (#5724)
* Update get_loss for senter

Update `SentenceRecognizer.get_loss` to keep it similar to `Tagger`.

* Update get_loss for morphologizer

Update `Morphologizer.get_loss` to keep it similar to `Tagger`.
2020-07-08 13:59:28 +02:00
Matthw Honnibal
a4164f67ca Don't normalize gradients 2020-07-07 17:21:58 +02:00
Ines Montani
412dbb1f38
Remove dead and/or deprecated code (#5710)
* Remove dead and/or deprecated code

* Remove n_threads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-06 13:06:25 +02:00
Sofie Van Landeghem
fcbf899b08
Feature/example only (#5707)
* remove _convert_examples

* fix test_gold, raise TypeError if tuples are used instead of Example's

* throwing proper errors when the wrong type of objects are passed

* fix deprectated format in tests

* fix deprectated format in parser tests

* fix tests for NEL, morph, senter, tagger, textcat

* update regression tests with new Example format

* use make_doc

* more fixes to nlp.update calls

* few more small fixes for rehearse and evaluate

* only import ml_datasets if really necessary
2020-07-06 13:02:36 +02:00
Matthew Honnibal
3e78e82a83
Experimental character-based pretraining (#5700)
* Use cosine loss in Cloze multitask

* Fix char_embed for gpu

* Call resume_training for base model in train CLI

* Fix bilstm_depth default in pretrain command

* Implement character-based pretraining objective

* Use chars loss in ClozeMultitask

* Add method to decode predicted characters

* Fix number characters

* Rescale gradients for mlm

* Fix char embed+vectors in ml

* Fix pipes

* Fix pretrain args

* Move get_characters_loss

* Fix import

* Fix import

* Mention characters loss option in pretrain

* Remove broken 'self attention' option in pretrain

* Revert "Remove broken 'self attention' option in pretrain"

This reverts commit 56b820f6af.

* Document 'characters' objective of pretrain
2020-07-05 15:48:39 +02:00
Sofie Van Landeghem
8d3c0306e1
refactor fixes (#5664)
* fixes in ud_train, UX for morphs

* update pyproject with new version of thinc

* fixes in debug_data script

* cleanup of old unused error messages

* remove obsolete TempErrors

* move error messages to errors.py

* add ENT_KB_ID to default DocBin serialization

* few fixes to simple_ner

* fix tags
2020-06-29 14:33:00 +02:00
Matthew Honnibal
8c29268749
Improve spacy.gold (no GoldParse, no json format!) (#5555)
* Update errors

* Remove beam for now (maybe)

Remove beam_utils

Update setup.py

Remove beam

* Remove GoldParse

WIP on removing goldparse

Get ArcEager compiling after GoldParse excise

Update setup.py

Get spacy.syntax compiling after removing GoldParse

Rename NewExample -> Example and clean up

Clean html files

Start updating tests

Update Morphologizer

* fix error numbers

* fix merge conflict

* informative error when calling to_array with wrong field

* fix error catching

* fixing language and scoring tests

* start testing get_aligned

* additional tests for new get_aligned function

* Draft create_gold_state for arc_eager oracle

* Fix import

* Fix import

* Remove TokenAnnotation code from nonproj

* fixing NER one-to-many alignment

* Fix many-to-one IOB codes

* fix test for misaligned

* attempt to fix cases with weird spaces

* fix spaces

* test_gold_biluo_different_tokenization works

* allow None as BILUO annotation

* fixed some tests + WIP roundtrip unit test

* add spaces to json output format

* minibatch utiltiy can deal with strings, docs or examples

* fix augment (needs further testing)

* various fixes in scripts - needs to be further tested

* fix test_cli

* cleanup

* correct silly typo

* add support for MORPH in to/from_array, fix morphologizer overfitting test

* fix tagger

* fix entity linker

* ensure test keeps working with non-linked entities

* pipe() takes docs, not examples

* small bug fix

* textcat bugfix

* throw informative error when running the components with the wrong type of objects

* fix parser tests to work with example (most still failing)

* fix BiluoPushDown parsing entities

* small fixes

* bugfix tok2vec

* fix renames and simple_ner labels

* various small fixes

* prevent writing dummy values like deps because that could interfer with sent_start values

* fix the fix

* implement split_sent with aligned SENT_START attribute

* test for split sentences with various alignment issues, works

* Return ArcEagerGoldParse from ArcEager

* Update parser and NER gold stuff

* Draft new GoldCorpus class

* add links to to_dict

* clean up

* fix test checking for variants

* Fix oracles

* Start updating converters

* Move converters under spacy.gold

* Move things around

* Fix naming

* Fix name

* Update converter to produce DocBin

* Update converters

* Allow DocBin to take list of Doc objects.

* Make spacy convert output docbin

* Fix import

* Fix docbin

* Fix compile in ArcEager

* Fix import

* Serialize all attrs by default

* Update converter

* Remove jsonl converter

* Add json2docs converter

* Draft Corpus class for DocBin

* Work on train script

* Update Corpus

* Update DocBin

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Update train.py

* Fix Corpus

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

* Skip tests that cause crashes

* Skip test causing segfault

* Remove GoldCorpus

* Update imports

* Update after removing GoldCorpus

* Fix module name of corpus

* Fix mimport

* Work on parser oracle

* Update arc_eager oracle

* Restore ArcEager.get_cost function

* Update transition system

* Update test_arc_eager_oracle

* Remove beam test

* Update test

* Unskip

* Unskip tests

* add links to to_dict

* clean up

* fix test checking for variants

* Allow DocBin to take list of Doc objects.

* Fix compile in ArcEager

* Serialize all attrs by default

Move converters under spacy.gold

Move things around

Fix naming

Fix name

Update converter to produce DocBin

Update converters

Make spacy convert output docbin

Fix import

Fix docbin

Fix import

Update converter

Remove jsonl converter

Add json2docs converter

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Start updating converters

* Work on train script

* Draft Corpus class for DocBin

Update Corpus

Fix Corpus

* Update DocBin

Add missing strings when serializing

* Update train.py

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

Skip tests that cause crashes

Skip test causing segfault

* Remove GoldCorpus

Update imports

Update after removing GoldCorpus

Fix module name of corpus

Fix mimport

* Work on parser oracle

Update arc_eager oracle

Restore ArcEager.get_cost function

Update transition system

* Update tests

Remove beam test

Update test

Unskip

Unskip tests

* Add get_aligned_parse method in Example

Fix Example.get_aligned_parse

* Add kwargs to Corpus.dev_dataset to match train_dataset

* Update nonproj

* Use get_aligned_parse in ArcEager

* Add another arc-eager oracle test

* Remove Example.doc property

Remove Example.doc

Remove Example.doc

Remove Example.doc

Remove Example.doc

* Update ArcEager oracle

Fix Break oracle

* Debugging

* Fix Corpus

* Fix eg.doc

* Format

* small fixes

* limit arg for Corpus

* fix test_roundtrip_docs_to_docbin

* fix test_make_orth_variants

* fix add_label test

* Update tests

* avoid writing temp dir in json2docs, fixing 4402 test

* Update test

* Add missing costs to NER oracle

* Update test

* Work on Example.get_aligned_ner method

* Clean up debugging

* Xfail tests

* Remove prints

* Remove print

* Xfail some tests

* Replace unseen labels for parser

* Update test

* Update test

* Xfail test

* Fix Corpus

* fix imports

* fix docs_to_json

* various small fixes

* cleanup

* Support gold_preproc in Corpus

* Support gold_preproc

* Pass gold_preproc setting into corpus

* Remove debugging

* Fix gold_preproc

* Fix json2docs converter

* Fix convert command

* Fix flake8

* Fix import

* fix output_dir (converted to Path by typer)

* fix var

* bugfix: update states after creating golds to avoid out of bounds indexing

* Improve efficiency of ArEager oracle

* pull merge_sent into iob2docs to avoid Doc creation for each line

* fix asserts

* bugfix excl Span.end in iob2docs

* Support max_length in Corpus

* Fix arc_eager oracle

* Filter out uannotated sentences in NER

* Remove debugging in parser

* Simplify NER alignment

* Fix conversion of NER data

* Fix NER init_gold_batch

* Tweak efficiency of precomputable affine

* Update onto-json default

* Update gold test for NER

* Fix parser test

* Update test

* Add NER data test

* Fix convert for single file

* Fix test

* Hack scorer to avoid evaluating non-nered data

* Fix handling of NER data in Example

* Output unlabelled spans from O biluo tags in iob_utils

* Fix unset variable

* Return kept examples from init_gold_batch

* Return examples from init_gold_batch

* Dont return Example from init_gold_batch

* Set spaces on gold doc after conversion

* Add test

* Fix spaces reading

* Improve NER alignment

* Improve handling of missing values in NER

* Restore the 'cutting' in parser training

* Add assertion

* Print epochs

* Restore random cuts in parser/ner training

* Implement Doc.copy

* Implement Example.copy

* Copy examples at the start of Language.update

* Don't unset example docs

* Tweak parser model slightly

* attempt to fix _guess_spaces

* _add_entities_to_doc first, so that links don't get overwritten

* fixing get_aligned_ner for one-to-many

* fix indexing into x_text

* small fix biluo_tags_from_offsets

* Add onto-ner config

* Simplify NER alignment

* Fix NER scoring for partially annotated documents

* fix indexing into x_text

* fix test_cli failing tests by ignoring spans in doc.ents with empty label

* Fix limit

* Improve NER alignment

* Fix count_train

* Remove print statement

* fix tests, we're not having nothing but None

* fix clumsy fingers

* Fix tests

* Fix doc.ents

* Remove empty docs in Corpus and improve limit

* Update config

Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
2020-06-26 19:34:12 +02:00
Adriane Boyd
b7107ac89f
Disregard special tag _SP in check for new tag map (#5641)
* Skip special tag  _SP in check for new tag map

In `Tagger.begin_training()` check for new tags aside from `_SP` in the
new tag map initialized from the provided gold tuples when determining
whether to reinitialize the morphology with the new tag map.

* Simplify _SP check
2020-06-26 09:23:21 +02:00
svlandeg
2f6062a8a4 add line that got removed from EntityLinker 2020-06-20 23:14:45 +02:00
svlandeg
12dc8ab208 remove redundant code from master in EntityLinker 2020-06-20 23:07:42 +02:00
svlandeg
256d4c27c8 fix tagger begin_training being called without examples 2020-06-20 22:38:00 +02:00
svlandeg
c9242e9bf4 fix entity linker (cf PR #5548) 2020-06-20 21:47:23 +02:00
Ines Montani
0cdb631e6c Fix merge errors 2020-06-20 16:02:42 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Ines Montani
8283df80e9 Tidy up and auto-format 2020-06-20 14:15:04 +02:00
Adriane Boyd
c482f20778
Fix and add warnings related to spacy-lookups-data (#5588)
* Fix warning message for lemmatization tables

* Add a warning when the `lexeme_norm` table is empty. (Given the
relatively lang-specific loading for `Lookups`, it seemed like too much
overhead to dynamically extract the list of languages, so for now it's
hard-coded.)
2020-06-15 14:56:04 +02:00
theudas
fa46e0bef2
Added Parameter to NEL to take n sentences into account (#5548)
* added setting for neighbour sentence in NEL

* added spaCy contributor agreement

* added multi sentence also for training

* made the try-except block smaller
2020-06-12 02:03:23 +02:00
Sofie Van Landeghem
c0f4a1e43b
train is from-config by default (#5575)
* verbose and tag_map options

* adding init_tok2vec option and only changing the tok2vec that is specified

* adding omit_extra_lookups and verifying textcat config

* wip

* pretrain bugfix

* add replace and resume options

* train_textcat fix

* raw text functionality

* improve UX when KeyError or when input data can't be parsed

* avoid unnecessary access to goldparse in TextCat pipe

* save performance information in nlp.meta

* add noise_level to config

* move nn_parser's defaults to config file

* multitask in config - doesn't work yet

* scorer offering both F and AUC options, need to be specified in config

* add textcat verification code from old train script

* small fixes to config files

* clean up

* set default config for ner/parser to allow create_pipe to work as before

* two more test fixes

* small fixes

* cleanup

* fix NER pickling + additional unit test

* create_pipe as before
2020-06-12 02:02:07 +02:00
Matthew Honnibal
8411d4f4e6
Merge pull request #5543 from svlandeg/feature/pretrain-config
pretrain from config
2020-06-04 19:07:12 +02:00
svlandeg
3ade455fd3 formatting 2020-06-04 16:09:55 +02:00
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
svlandeg
eac12cbb77 make dropout in embed layers configurable 2020-06-03 11:50:16 +02:00
svlandeg
e0f9f448f1 remove Tensorizer 2020-06-01 23:38:48 +02:00
Adriane Boyd
a005ccd6d7 Preserve _SP when filtering tag map in Tagger
To allow "SP" as a tag (for Chinese OntoNotes), preserve "_SP" if
present as the reference `SPACE` POS in the tag map in
`Tagger.begin_training()`.
2020-05-31 19:57:54 +02:00
Ines Montani
1a15896ba9 unicode -> str consistency [ci skip] 2020-05-24 18:51:10 +02:00
Ines Montani
5d3806e059 unicode -> str consistency 2020-05-24 17:20:58 +02:00
Matthew Honnibal
93c4d13588
Merge pull request #5264 from lfiedler/issue-5230
Fix ResourceWarnings during unittest
2020-05-22 00:31:07 +02:00
Matthw Honnibal
bc94fdabd0 Fix begin_training 2020-05-21 20:46:21 +02:00
Matthw Honnibal
f075655deb Fix shape inference in begin_training 2020-05-21 19:26:29 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Sofie Van Landeghem
7f5715a081
Various fixes to NEL functionality, Example class etc (#5460)
* setting KB in the EL constructor, similar to how the model is passed on

* removing wikipedia example files - moved to projects

* throw an error when nlp.update is called with 2 positional arguments

* rewriting the config logic in create pipe to accomodate for other objects (e.g. KB) in the config

* update config files with new parameters

* avoid training pipeline components that don't have a model (like sentencizer)

* various small fixes + UX improvements

* small fixes

* set thinc to 8.0.0a9 everywhere

* remove outdated comment
2020-05-20 11:41:12 +02:00
Sofie Van Landeghem
f00de445dd
default models defined in component decorator (#5452)
* move defaults to pipeline and use in component decorator

* black formatting

* relative import
2020-05-19 16:20:03 +02:00
Sofie Van Landeghem
0d94737857
Feature toggle_pipes (#5378)
* make disable_pipes deprecated in favour of the new toggle_pipes

* rewrite disable_pipes statements

* update documentation

* remove bin/wiki_entity_linking folder

* one more fix

* remove deprecated link to documentation

* few more doc fixes

* add note about name change to the docs

* restore original disable_pipes

* small fixes

* fix typo

* fix error number to W096

* rename to select_pipes

* also make changes to the documentation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-18 22:27:10 +02:00
Matthew Honnibal
333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
Adriane Boyd
bc39f97e11 Simplify warnings 2020-04-28 13:37:37 +02:00
Matthew Honnibal
b2ef6100af
Only run backprop once when shared tok2vec weights (#5331)
Previously, pipelines with shared tok2vec weights would call the
tok2vec backprop callback multiple times, once for each pipeline
component. This caused errors for PyTorch, and was inefficient.

Instead, accumulate the gradient for all but one component, and just
call the callback once.
2020-04-21 19:30:41 +02:00
Leander Fiedler
a3401b1194 issue5230 changed reference to function to anonymous function 2020-04-15 21:52:52 +02:00
Leander Fiedler
cef0c909b9 issue5230 changed reference to function to anonymous function 2020-04-15 19:28:33 +02:00
adrianeboyd
ae4af52ce7
Add ideographic stops to sentencizer (#5263)
Add ideographic half- and fullwidth full stops to default sentencizer
punctuation.
2020-04-08 12:58:39 +02:00
Leander Fiedler
71cc903d65 issue5230: replaced open statements on path objects so that serialization still works an files are closed 2020-04-06 20:30:41 +02:00
adrianeboyd
b71a11ff6d
Update morphologizer (#5108)
* Add pos and morph scoring to Scorer

Add pos, morph, and morph_per_type to `Scorer`. Report pos and morph
accuracy in `spacy evaluate`.

* Update morphologizer for v3

* switch to tagger-based morphologizer
* use `spacy.HashCharEmbedCNN` for morphologizer defaults
* add `Doc.is_morphed` flag

* Add morphologizer to train CLI

* Add basic morphologizer pipeline tests

* Add simple morphologizer training example

* Remove subword_features from CharEmbed models

Remove `subword_features` argument from `spacy.HashCharEmbedCNN.v1` and
`spacy.HashCharEmbedBiLSTM.v1` since in these cases `subword_features`
is always `False`.

* Rename setting in morphologizer example

Use `with_pos_tags` instead of `without_pos_tags`.

* Fix kwargs for spacy.HashCharEmbedBiLSTM.v1

* Remove defaults for spacy.HashCharEmbedBiLSTM.v1

Remove default `nM/nC` for `spacy.HashCharEmbedBiLSTM.v1`.

* Set random seed for textcat overfitting test
2020-04-02 14:46:32 +02:00
Sofie Van Landeghem
ab59f3124e
fix NEL overfitting test for GPU (#5236) 2020-04-02 10:32:52 +02:00
Sofie Van Landeghem
311133e579
Train textcat with config (#5143)
* bring back default build_text_classifier method

* remove _set_dims_ hack in favor of proper dim inference

* add tok2vec initialize to unit test

* small fixes

* add unit test for various textcat config settings

* logistic output layer does not have nO

* fix window_size setting

* proper fix

* fix W initialization

* Update textcat training example

* Use ml_datasets
* Convert training data to `Example` format
* Use `n_texts` to set proportionate dev size

* fix _init renaming on latest thinc

* avoid setting a non-existing dim

* update to thinc==8.0.0a2

* add BOW and CNN defaults for easy testing

* various experiments with train_textcat script, fix softmax activation in textcat bow

* allow textcat train script to work on other datasets as well

* have dataset as a parameter

* train textcat from config, with example config

* add config for training textcat

* formatting

* fix exclusive_classes

* fixing BOW for GPU

* bump thinc to 8.0.0a3 (not published yet so CI will fail)

* add in link_vectors_to_models which got deleted

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2020-03-29 19:40:36 +02:00
Sofie Van Landeghem
9b412516e7
Fixing pickling of the parser (#5218)
* fix __reduce__ for pickling parser

* setting the move object as 'state' during pickling

* unskip test_issue4725 - works again
2020-03-27 19:35:26 +01:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
Sofie Van Landeghem
5847be6022
Tok2Vec: extract-embed-encode (#5102)
* avoid changing original config

* fix elif structure, batch with just int crashes otherwise

* tok2vec example with doc2feats, encode and embed architectures

* further clean up MultiHashEmbed

* further generalize Tok2Vec to work with extract-embed-encode parts

* avoid initializing the charembed layer with Docs (for now ?)

* small fixes for bilstm config (still does not run)

* rename to core layer

* move new configs

* walk model to set nI instead of using core ref

* fix senter overfitting test to be more similar to the training data (avoid flakey behaviour)
2020-03-08 13:23:18 +01:00
adrianeboyd
c95ce96c44
Update sentence recognizer (#5109)
* Update sentence recognizer

* rename `sentrec` to `senter`
* use `spacy.HashEmbedCNN.v1` by default
* update to follow `Tagger` modifications
* remove component methods that can be inherited from `Tagger`
* add simple initialization and overfitting pipeline tests

* Update serialization test for senter
2020-03-06 14:45:02 +01:00
Sofie Van Landeghem
6ac9fc0619
Unit test for NEL functionality (#5114)
* empty begin_training for sentencizer

* overfitting unit test for entity linker

* fixed NEL IO by storing the entity_vector_length in the cfg
2020-03-06 14:42:23 +01:00
Ines Montani
b0cfab317f Merge branch 'develop' into refactor/simplify-warnings 2020-03-04 16:38:55 +01:00
Sofie Van Landeghem
c6b12ab02a
Bugfix/get doc (#5049)
* new (broken) unit test

* fixing get_doc method
2020-03-02 11:49:28 +01:00
Ines Montani
648f61d077
Tidy up compiler flags and imports (#5071) 2020-03-02 11:48:10 +01:00
Ines Montani
37691e6d5d Simplify warnings 2020-02-28 12:20:23 +01:00
Ines Montani
5da3ad682a Tidy up and auto-format 2020-02-28 11:57:41 +01:00
Sofie Van Landeghem
06f0a8daa0
Default settings to configurations (#4995)
* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

* further refactor to require a model config when creating a pipe

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

* allow reading nlp from package or dir with argument 'name'

* architecture spacy.VocabVectors.v1 to read static vectors from file

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

* add IO bit when testing overfitting of tagger (currently failing)

* fix IO - don't initialize when reading from disk

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build
2020-02-27 18:42:27 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
Kabir Khan
f6ed07b85c
Use nlp.pipe in EntityRuler for phrase patterns in add_patterns (#4931)
* Fix ent_ids and labels properties when id attribute used in patterns

* use set for labels

* sort end_ids for comparison in entity_ruler tests

* fixing entity_ruler ent_ids test

* add to set

* Run make_doc optimistically if using phrase matcher patterns.

* remove unused coveragerc I was testing with

* format

* Refactor EntityRuler.add_patterns to use nlp.pipe for phrase patterns. Improves speed substantially.

* Removing old add_patterns function

* Fixing spacing

* Make sure token_patterns loaded as well, before generator was being emptied in from_disk
2020-02-16 18:17:47 +01:00
Sofie Van Landeghem
72c964bcf4
define pretrained_dims which is used by build_text_classifier (#5004) 2020-02-16 17:21:17 +01:00
Sofie Van Landeghem
cabd60fa1e
Small fixes to as_example (#4957)
* label in span not writable anymore

* Revert "label in span not writable anymore"

This reverts commit ab442338c8.

* fixing yield - remove redundant list
2020-02-03 13:02:12 +01:00
Sofie Van Landeghem
569cc98982
Update spaCy for thinc 8.0.0 (#4920)
* Add load_from_config function

* Add train_from_config script

* Merge configs and expose via spacy.config

* Fix script

* Suggest create_evaluation_callback

* Hard-code for NER

* Fix errors

* Register command

* Add TODO

* Update train-from-config todos

* Fix imports

* Allow delayed setting of parser model nr_class

* Get train-from-config working

* Tidy up and fix scores and printing

* Hide traceback if cancelled

* Fix weighted score formatting

* Fix score formatting

* Make output_path optional

* Add Tok2Vec component

* Tidy up and add tok2vec_tensors

* Add option to copy docs in nlp.update

* Copy docs in nlp.update

* Adjust nlp.update() for set_annotations

* Don't shuffle pipes in nlp.update, decruft

* Support set_annotations arg in component update

* Support set_annotations in parser update

* Add get_gradients method

* Add get_gradients to parser

* Update errors.py

* Fix problems caused by merge

* Add _link_components method in nlp

* Add concept of 'listeners' and ControlledModel

* Support optional attributes arg in ControlledModel

* Try having tok2vec component in pipeline

* Fix tok2vec component

* Fix config

* Fix tok2vec

* Update for Example

* Update for Example

* Update config

* Add eg2doc util

* Update and add schemas/types

* Update schemas

* Fix nlp.update

* Fix tagger

* Remove hacks from train-from-config

* Remove hard-coded config str

* Calculate loss in tok2vec component

* Tidy up and use function signatures instead of models

* Support union types for registry models

* Minor cleaning in Language.update

* Make ControlledModel specifically Tok2VecListener

* Fix train_from_config

* Fix tok2vec

* Tidy up

* Add function for bilstm tok2vec

* Fix type

* Fix syntax

* Fix pytorch optimizer

* Add example configs

* Update for thinc describe changes

* Update for Thinc changes

* Update for dropout/sgd changes

* Update for dropout/sgd changes

* Unhack gradient update

* Work on refactoring _ml

* Remove _ml.py module

* WIP upgrade cli scripts for thinc

* Move some _ml stuff to util

* Import link_vectors from util

* Update train_from_config

* Import from util

* Import from util

* Temporarily add ml.component_models module

* Move ml methods

* Move typedefs

* Update load vectors

* Update gitignore

* Move imports

* Add PrecomputableAffine

* Fix imports

* Fix imports

* Fix imports

* Fix missing imports

* Update CLI scripts

* Update spacy.language

* Add stubs for building the models

* Update model definition

* Update create_default_optimizer

* Fix import

* Fix comment

* Update imports in tests

* Update imports in spacy.cli

* Fix import

* fix obsolete thinc imports

* update srsly pin

* from thinc to ml_datasets for example data such as imdb

* update ml_datasets pin

* using STATE.vectors

* small fix

* fix Sentencizer.pipe

* black formatting

* rename Affine to Linear as in thinc

* set validate explicitely to True

* rename with_square_sequences to with_list2padded

* rename with_flatten to with_list2array

* chaining layernorm

* small fixes

* revert Optimizer import

* build_nel_encoder with new thinc style

* fixes using model's get and set methods

* Tok2Vec in component models, various fixes

* fix up legacy tok2vec code

* add model initialize calls

* add in build_tagger_model

* small fixes

* setting model dims

* fixes for ParserModel

* various small fixes

* initialize thinc Models

* fixes

* consistent naming of window_size

* fixes, removing set_dropout

* work around Iterable issue

* remove legacy tok2vec

* util fix

* fix forward function of tok2vec listener

* more fixes

* trying to fix PrecomputableAffine (not succesful yet)

* alloc instead of allocate

* add morphologizer

* rename residual

* rename fixes

* Fix predict function

* Update parser and parser model

* fixing few more tests

* Fix precomputable affine

* Update component model

* Update parser model

* Move backprop padding to own function, for test

* Update test

* Fix p. affine

* Update NEL

* build_bow_text_classifier and extract_ngrams

* Fix parser init

* Fix test add label

* add build_simple_cnn_text_classifier

* Fix parser init

* Set gpu off by default in example

* Fix tok2vec listener

* Fix parser model

* Small fixes

* small fix for PyTorchLSTM parameters

* revert my_compounding hack (iterable fixed now)

* fix biLSTM

* Fix uniqued

* PyTorchRNNWrapper fix

* small fixes

* use helper function to calculate cosine loss

* small fixes for build_simple_cnn_text_classifier

* putting dropout default at 0.0 to ensure the layer gets built

* using thinc util's set_dropout_rate

* moving layer normalization inside of maxout definition to optimize dropout

* temp debugging in NEL

* fixed NEL model by using init defaults !

* fixing after set_dropout_rate refactor

* proper fix

* fix test_update_doc after refactoring optimizers in thinc

* Add CharacterEmbed layer

* Construct tagger Model

* Add missing import

* Remove unused stuff

* Work on textcat

* fix test (again :)) after optimizer refactor

* fixes to allow reading Tagger from_disk without overwriting dimensions

* don't build the tok2vec prematuraly

* fix CharachterEmbed init

* CharacterEmbed fixes

* Fix CharacterEmbed architecture

* fix imports

* renames from latest thinc update

* one more rename

* add initialize calls where appropriate

* fix parser initialization

* Update Thinc version

* Fix errors, auto-format and tidy up imports

* Fix validation

* fix if bias is cupy array

* revert for now

* ensure it's a numpy array before running bp in ParserStepModel

* no reason to call require_gpu twice

* use CupyOps.to_numpy instead of cupy directly

* fix initialize of ParserModel

* remove unnecessary import

* fixes for CosineDistance

* fix device renaming

* use refactored loss functions (Thinc PR 251)

* overfitting test for tagger

* experimental settings for the tagger: avoid zero-init and subword normalization

* clean up tagger overfitting test

* use previous default value for nP

* remove toy config

* bringing layernorm back (had a bug - fixed in thinc)

* revert setting nP explicitly

* remove setting default in constructor

* restore values as they used to be

* add overfitting test for NER

* add overfitting test for dep parser

* add overfitting test for textcat

* fixing init for linear (previously affine)

* larger eps window for textcat

* ensure doc is not None

* Require newer thinc

* Make float check vaguer

* Slop the textcat overfit test more

* Fix textcat test

* Fix exclusive classes for textcat

* fix after renaming of alloc methods

* fixing renames and mandatory arguments (staticvectors WIP)

* upgrade to thinc==8.0.0.dev3

* refer to vocab.vectors directly instead of its name

* rename alpha to learn_rate

* adding hashembed and staticvectors dropout

* upgrade to thinc 8.0.0.dev4

* add name back to avoid warning W020

* thinc dev4

* update srsly

* using thinc 8.0.0a0 !

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
Co-authored-by: Ines Montani <ines@ines.io>
2020-01-29 17:06:46 +01:00
adrianeboyd
a938566b62 Fix Sentencizer.pipe() for empty doc (#4940) 2020-01-28 11:36:49 +01:00
adrianeboyd
199d89943e Add as_example to Sentencizer pipe() (#4933) 2020-01-22 15:40:31 +01:00
Kabir Khan
b9afcd56e3 Fix ent_ids and labels properties when id attribute used in patterns (#4900)
* Fix ent_ids and labels properties when id attribute used in patterns

* use set for labels

* sort end_ids for comparison in entity_ruler tests

* fixing entity_ruler ent_ids test

* add to set
2020-01-16 02:01:31 +01:00
Sofie Van Landeghem
7b96a5e10f Reduce mem usage in training Entity Linker (#4811)
* move nlp processing for el pipe to batch training instead of preprocessing

* adding dev eval back in, and limit in articles instead of entities

* use pipe whenever possible

* few more small doc changes

* access dev data through generator

* tqdm description

* small fixes

* update documentation
2020-01-06 14:59:50 +01:00
Ines Montani
a892821c51 More formatting changes 2019-12-25 17:59:52 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00
Ines Montani
947dba7141 Merge branch 'master' into develop 2019-12-21 19:04:43 +01:00
Ines Montani
cb4145adc7 Tidy up and auto-format 2019-12-21 19:04:17 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
Sofie Van Landeghem
557dcf5659 NEL requires sentences to be set (#4801) 2019-12-13 15:55:18 +01:00
Sofie Van Landeghem
5355b0038f Update EL example (#4789)
* update EL example script after sentence-central refactor

* version bump

* set incl_prior to False for quick demo purposes

* clean up
2019-12-11 18:19:42 +01:00
Sofie Van Landeghem
780d43aac7 fix bug in EL predict (#4779) 2019-12-06 19:18:14 +01:00
adrianeboyd
b841d3fe75 Add a tagger-based SentenceRecognizer (#4713)
* Add sent_starts to GoldParse

* Add SentTagger pipeline component

Add `SentTagger` pipeline component as a subclass of `Tagger`.

* Model reduces default parameters from `Tagger` to be small and fast
* Hard-coded set of two labels:
  * S (1): token at beginning of sentence
  * I (0): all other sentence positions
* Sets `token.sent_start` values

* Add sentence segmentation to Scorer

Report `sent_p/r/f` for sentence boundaries, which may be provided by
various pipeline components.

* Add sentence segmentation to CLI evaluate

* Add senttagger metrics/scoring to train CLI

* Rename SentTagger to SentenceRecognizer

* Add SentenceRecognizer to spacy.pipes imports

* Add SentenceRecognizer serialization test

* Shorten component name to sentrec

* Remove duplicates from train CLI output metrics
2019-11-28 11:10:07 +01:00
adrianeboyd
48ea2e8d0f Restructure Sentencizer to follow Pipe API (#4721)
* Restructure Sentencizer to follow Pipe API

Restructure Sentencizer to follow Pipe API so that it can be scored with
`nlp.evaluate()`.

* Add Sentencizer pipe() test
2019-11-27 16:33:34 +01:00
adrianeboyd
392c4880d9 Restructure Example with merged sents as default (#4632)
* Switch to train_dataset() function in train CLI

* Fixes for pipe() methods in pipeline components

* Don't clobber `examples` variable with `as_example` in pipe() methods
* Remove unnecessary traversals of `examples`

* Update Parser.pipe() for Examples

* Add `as_examples` kwarg to `pipe()` with implementation to return
`Example`s

* Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from
`Pipe`)

* Fixes to Example implementation in spacy.gold

* Move `make_projective` from an attribute of Example to an argument of
`Example.get_gold_parses()`

* Head of 0 are not treated as unset

* Unset heads are set to self rather than `None` (which causes problems
while projectivizing)

* Check for `Doc` (not just not `None`) when creating GoldParses for
pre-merged example

* Don't clobber `examples` variable in `iter_gold_docs()`

* Add/modify gold tests for handling projectivity

* In JSON roundtrip compare results from `dev_dataset` rather than
`train_dataset` to avoid projectivization (and other potential
modifications)

* Add test for projective train vs. nonprojective dev versions of the
same `Doc`

* Handle ignore_misaligned as arg rather than attr

Move `ignore_misaligned` from an attribute of `Example` to an argument
to `Example.get_gold_parses()`, which makes it parallel to
`make_projective`.

Add test with old and new align that checks whether `ignore_misaligned`
errors are raised as expected (only for new align).

* Remove unused attrs from gold.pxd

Remove `ignore_misaligned` and `make_projective` from `gold.pxd`

* Restructure Example with merged sents as default

An `Example` now includes a single `TokenAnnotation` that includes all
the information from one `Doc` (=JSON `paragraph`). If required, the
individual sentences can be returned as a list of examples with
`Example.split_sents()` with no raw text available.

* Input/output a single `Example.token_annotation`

* Add `sent_starts` to `TokenAnnotation` to handle sentence boundaries

* Replace `Example.merge_sents()` with `Example.split_sents()`

* Modify components to use a single `Example.token_annotation`

  * Pipeline components
  * conllu2json converter

* Rework/rename `add_token_annotation()` and `add_doc_annotation()` to
`set_token_annotation()` and `set_doc_annotation()`, functions that set
rather then appending/extending.

* Rename `morphology` to `morphs` in `TokenAnnotation` and `GoldParse`

* Add getters to `TokenAnnotation` to supply default values when a given
attribute is not available

* `Example.get_gold_parses()` in `spacy.gold._make_golds()` is only
applied on single examples, so the `GoldParse` is returned saved in the
provided `Example` rather than creating a new `Example` with no other
internal annotation

* Update tests for API changes and `merge_sents()` vs. `split_sents()`

* Refer to Example.goldparse in iter_gold_docs()

Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold`
because a `None` `GoldParse` is generated with ignore_misaligned and
generating it on-the-fly can raise an unwanted AlignmentError

* Fix make_orth_variants()

Fix bug in make_orth_variants() related to conversion from multiple to
one TokenAnnotation per Example.

* Add basic test for make_orth_variants()

* Replace try/except with conditionals

* Replace default morph value with set
2019-11-25 16:03:28 +01:00
adrianeboyd
44829950ba Fix Example details for train CLI / pipeline components (#4624)
* Switch to train_dataset() function in train CLI

* Fixes for pipe() methods in pipeline components

* Don't clobber `examples` variable with `as_example` in pipe() methods
* Remove unnecessary traversals of `examples`

* Update Parser.pipe() for Examples

* Add `as_examples` kwarg to `pipe()` with implementation to return
`Example`s

* Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from
`Pipe`)

* Fixes to Example implementation in spacy.gold

* Move `make_projective` from an attribute of Example to an argument of
`Example.get_gold_parses()`

* Head of 0 are not treated as unset

* Unset heads are set to self rather than `None` (which causes problems
while projectivizing)

* Check for `Doc` (not just not `None`) when creating GoldParses for
pre-merged example

* Don't clobber `examples` variable in `iter_gold_docs()`

* Add/modify gold tests for handling projectivity

* In JSON roundtrip compare results from `dev_dataset` rather than
`train_dataset` to avoid projectivization (and other potential
modifications)

* Add test for projective train vs. nonprojective dev versions of the
same `Doc`

* Handle ignore_misaligned as arg rather than attr

Move `ignore_misaligned` from an attribute of `Example` to an argument
to `Example.get_gold_parses()`, which makes it parallel to
`make_projective`.

Add test with old and new align that checks whether `ignore_misaligned`
errors are raised as expected (only for new align).

* Remove unused attrs from gold.pxd

Remove `ignore_misaligned` and `make_projective` from `gold.pxd`

* Refer to Example.goldparse in iter_gold_docs()

Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold`
because a `None` `GoldParse` is generated with ignore_misaligned and
generating it on-the-fly can raise an unwanted AlignmentError

* Update test for ignore_misaligned
2019-11-23 14:32:15 +01:00
GuiGel
8f7ab70870 Bugfix/fix entity ruler from disk (#4670)
* fix EntityRuler from_disk bug

* add contributor file

* Test EntityRuler PhraseMatcher deserialization (#4651)

* newline at end of file

* fix copy paste error

* serializing the EntityRuler by itself

* Add unicode declarations for Python 2 and auto-format
2019-11-21 16:26:37 +01:00
adrianeboyd
054df5d90a Add error for non-string labels (#4690)
Add error when attempting to add non-string labels to `Tagger` or
`TextCategorizer`.
2019-11-21 16:24:10 +01:00
Sofie Van Landeghem
e48a09df4e Example class for training data (#4543)
* OrigAnnot class instead of gold.orig_annot list of zipped tuples

* from_orig to replace from_annot_tuples

* rename to RawAnnot

* some unit tests for GoldParse creation and internal format

* removing orig_annot and switching to lists instead of tuple

* rewriting tuples to use RawAnnot (+ debug statements, WIP)

* fix pop() changing the data

* small fixes

* pop-append fixes

* return RawAnnot for existing GoldParse to have uniform interface

* clean up imports

* fix merge_sents

* add unit test for 4402 with new structure (not working yet)

* introduce DocAnnot

* typo fixes

* add unit test for merge_sents

* rename from_orig to from_raw

* fixing unit tests

* fix nn parser

* read_annots to produce text, doc_annot pairs

* _make_golds fix

* rename golds_to_gold_annots

* small fixes

* fix encoding

* have golds_to_gold_annots use DocAnnot

* missed a spot

* merge_sents as function in DocAnnot

* allow specifying only part of the token-level annotations

* refactor with Example class + underlying dicts

* pipeline components to work with Example objects (wip)

* input checking

* fix yielding

* fix calls to update

* small fixes

* fix scorer unit test with new format

* fix kwargs order

* fixes for ud and conllu scripts

* fix reading data for conllu script

* add in proper errors (not fixed numbering yet to avoid merge conflicts)

* fixing few more small bugs

* fix EL script
2019-11-11 17:35:27 +01:00
adrianeboyd
f2bfaa1b38 Filter subtoken matches in merge_subtokens() (#4539)
The `Matcher` in `merge_subtokens()` returns all possible subsequences
of `subtok`, so for sequences of two or more subtoks it's necessary to
filter the matches so that the retokenizer is only merging the longest
matches with no overlapping spans.
2019-10-28 15:40:28 +01:00
Matthew Honnibal
f8d740bfb1
Fix --gold-preproc train cli command (#4392)
* Fix get labels for textcat

* Fix char_embed for gpu

* Revert "Fix char_embed for gpu"

This reverts commit 055b9a9e85.

* Fix passing of cats in gold.pyx

* Revert "Match pop with append for training format (#4516)"

This reverts commit 8e7414dace.

* Fix popping gold parses

* Fix handling of cats in gold tuples

* Fix name

* Fix ner_multitask_objective script

* Add test for 4402
2019-10-27 21:58:50 +01:00
Sofie Van Landeghem
8e7414dace Match pop with append for training format (#4516)
* trying to fix script - not succesful yet

* match pop() with extend() to avoid changing the data

* few more pop-extend fixes

* reinsert deleted print statement

* fix print statement

* add last tested version

* append instead of extend

* add in few comments

* quick fix for 4402 + unit test

* fixing number of docs (not counting cats)

* more fixes

* fix len

* print tmp file instead of using data from examples dir

* print tmp file instead of using data from examples dir (2)
2019-10-27 16:01:32 +01:00
Ines Montani
a9c6104047 Component decorator and component analysis (#4517)
* Add work in progress

* Update analysis helpers and component decorator

* Fix porting of docstrings for Python 2

* Fix docstring stuff on Python 2

* Support meta factories when loading model

* Put auto pipeline analysis behind flag for now

* Analyse pipes on remove_pipe and replace_pipe

* Move analysis to root for now

Try to find a better place for it, but it needs to go for now to avoid circular imports

* Simplify decorator

Don't return a wrapped class and instead just write to the object

* Update existing components and factories

* Add condition in factory for classes vs. functions

* Add missing from_nlp classmethods

* Add "retokenizes" to printed overview

* Update assigns/requires declarations of builtins

* Only return data if no_print is enabled

* Use multiline table for overview

* Don't support Span

* Rewrite errors/warnings and move them to spacy.errors
2019-10-27 13:35:49 +01:00
Ines Montani
cfffdba7b1 Implement new API for {Phrase}Matcher.add (backwards-compatible) (#4522)
* Implement new API for {Phrase}Matcher.add (backwards-compatible)

* Update docs

* Also update DependencyMatcher.add

* Update internals

* Rewrite tests to use new API

* Add basic check for common mistake

Raise error with suggestion if user likely passed in a pattern instead of a list of patterns

* Fix typo [ci skip]
2019-10-25 22:21:08 +02:00