Commit Graph

310 Commits

Author SHA1 Message Date
Adriane Boyd
960d9cfadc Officially support DependencyMatcher
Add official support for the `DependencyMatcher`. Redesign the pattern
specification. Fix and extend operator implementations. Update API docs
and add usage docs.

Patterns
--------

Refactor pattern structure to:

```
{
  "LEFT_ID": str,
  "REL_OP": str,
  "RIGHT_ID": str,
  "RIGHT_ATTRS": dict,
}
```

The first node contains only `RIGHT_ID` and `RIGHT_ATTRS` and all
subsequent nodes contain all four keys.

New operators
-------------

Because of the way patterns are constructed from left to right, it's
helpful to have `follows` operators along with `precedes` operators. Add
operators for simple precedes / follows alongside immediate precedes /
follows.

* `.*`: precedes
* `;`: immediately follows
* `;*`: follows

Operator fixes
--------------

* `<` and `<<` do not include the node itself
* Fix reversed order for all operators involving linear precedence (`.`,
  all sibling operators)
* Linear precedence operators do not match nodes outside the same parse

Additional fixes
----------------

* Use v3 Matcher API
* Support `get` and `remove`
* Support pickling
2020-09-02 17:45:29 +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
Ines Montani
add9de5487 Deprecate (Phrase)Matcher.pipe 2020-08-31 17:01:24 +02:00
Adriane Boyd
216efaf5f5 Restrict tokenizer exceptions to ORTH and NORM 2020-08-31 09:55:01 +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
10da74382f Raise if disabled components are removed before DisabledPipes.restore 2020-08-28 20:35:26 +02:00
Ines Montani
cad988da7f Allow component decorators to re-run with same function 2020-08-28 16:27:22 +02:00
Matthew Honnibal
2d520d3b45 Remove unused error 2020-08-26 15:41:14 +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
Sofie Van Landeghem
688e77562b
Train CLI script fixes (#5931)
* fix dash replacement in overrides arguments

* perform interpolation on training config

* make sure only .spacy files are read
2020-08-18 16:06:37 +02:00
Ines Montani
db2dbc8e59 Remove unused warning 2020-08-14 14:58:03 +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
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
svlandeg
0b4d1e1bc4 'debug data' instead of 'debug-data' 2020-08-06 15:47:31 +02:00
Ines Montani
0881455a5d Update error message 2020-08-05 23:15:05 +02:00
Ines Montani
2a1fa86a0d Add better error for failed model shortcut loading 2020-08-05 23:10:29 +02:00
Ines Montani
823e533dc1
Add config callbacks for modifying nlp object before and after init (#5866)
* WIP: Concept for modifying nlp object before and after init

* Make callbacks return nlp object

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

* Raise if callbacks don't return correct type

* Rename, update types, add after_pipeline_creation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-05 19:47:54 +02:00
Adriane Boyd
4193402c47
Add warning when Matcher subpattern is discarded (#5873)
* Add a warning when a subpattern is not processed and discarded

* Normalize subpattern attribute/operator keys to upper case like
top-level attributes
2020-08-05 14:56:14 +02:00
Ines Montani
b795f02fbd
Allow adding pipeline components from source model (#5857)
* Allow adding pipeline components from source model

* Config: name -> component

* Improve error messages

* Fix error and test

* Add frozen components and exclude logic

* Remove exclude from Language.evaluate

* Init sourced components with current vocab

* Fix error codes
2020-08-04 23:39:19 +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
492d1ec5de
Prevent alignment when texts don't match (#5867)
* remove empty gold.pyx

* add alignment unit test (to be used in docs)

* ensure that Alignment is only used on equal texts

* additional test using example.alignment

* formatting

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-04 16:29:18 +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
b841248589
Add Span index boundary checks (#5861)
* Add Span index boundary checks

* Return Span-specific IndexError in all cases

* Simplify and fix if/else
2020-08-04 13:35:25 +02:00
Ines Montani
b40f44419b Simplify pipe analysis
- remove unused code
- don't print by default
- integrate attrs info into analysis output
2020-08-01 13:40:06 +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
ba22111ff4 Move error to Errors 2020-07-28 16:24:14 +02:00
svlandeg
61068e0fb1 util function dot_to_object and corresponding unit test 2020-07-27 17:50:12 +02:00
Ines Montani
e92df281ce Tidy up, autoformat, add types 2020-07-25 15:01:15 +02:00
Ines Montani
c003d26b94 Tidy up 2020-07-25 12:21:37 +02:00
Ines Montani
b9aaa4e457 Improve vocab data integration and warning 2020-07-25 11:51:30 +02:00
Ines Montani
14d7d46f89 Merge branch 'develop' into feature/language-data-config 2020-07-22 22:18:53 +02:00
Ines Montani
d0c6d1efc5
@factories -> factory (#5801) 2020-07-22 17:29:31 +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
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +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
Sofie Van Landeghem
c9da9605f7
Test suite clean up (#5781)
* step_through tests: skip instead of xfail

* test_empty_doc should be fixed with new Thinc version

* remove outdated test (there are other misaligned tests now)

* xfail reason

* fix test according to french exceptions

* clarified some skipped tests

* skip ukranian test instead of xfail

* skip instead of xfail

* skip + reason instead of xfail

* removed obsolete tests referring to removed "set_frozen" functionality

* fix test 999

* remove unused AlignmentError

* remove xfail where possible, skip otherwise

* increment thinc release for empty_doc test
2020-07-20 14:49:54 +02:00
Adriane Boyd
39ebcd9ec9
Refactor Chinese tokenizer configuration (#5736)
* Refactor Chinese tokenizer configuration

Refactor `ChineseTokenizer` configuration so that it uses a single
`segmenter` setting to choose between character segmentation, jieba, and
pkuseg.

* replace `use_jieba`, `use_pkuseg`, `require_pkuseg` with the setting
`segmenter` with the supported values: `char`, `jieba`, `pkuseg`
* make the default segmenter plain character segmentation `char` (no
additional libraries required)

* Fix Chinese serialization test to use char default

* Warn if attempting to customize other segmenter

Add a warning if `Chinese.pkuseg_update_user_dict` is called when
another segmenter is selected.
2020-07-19 13:34:37 +02:00
Adriane Boyd
5228920e2f
Clarify warning W030 for misaligned BILUO tags (#5761) 2020-07-14 14:09:48 +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
Sofie Van Landeghem
a39a110c4e
Few more Example unit tests (#5720)
* small fixes in Example, UX

* add gold tests for aligned_spans and get_aligned_parse

* sentencizer unnecessary
2020-07-07 18:46:00 +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
Jan Jessewitsch
e4dcac4a4b
Merging multiple docs into one (#5032)
* Add static method to Doc to allow merging of multiple docs.

* Add error description for the error that occurs if docs with different
vocabs (from different languages) are merged in Doc.from_docs().

* Add test for Doc.from_docs() implementation.

* Fix using numpy's concatenate in Doc.from_docs.

* Replace typing's type annotations in from_docs.

* Simply remove type annotations in from_docs.

* Add documentation for Doc.from_docs to api.

* Simplify from_docs, its test and the api doc for codebase consistency.

* Fix merging of Doc objects that end with whitespaces (Achieved by simply not setting the SPACY attribute on whitespace tokens). Remove two unnecessary imports of attributes.

* Add merging of user data from Doc objects in from_docs. Add user data test case to corresponding test. Add applicable warning messages.

* Fix incorrect setting of tokens idx by using concatenated spaces (again). Add test case to corresponding test.

* Add MORPH to attrs

* Update warnings calls

* Remove out-dated error from merge

* Rename space_delimiter to ensure_whitespace

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2020-07-03 11:32:42 +02:00
svlandeg
04ed4d60a8 raise error when links are not aligned to tokens 2020-07-02 13:57:35 +02:00
svlandeg
f503817623 fix parsing entity links in new gold format 2020-07-02 13:48:11 +02:00
svlandeg
60f97bc519 add custom warning when run_command fails 2020-06-30 17:28:43 +02:00
svlandeg
ff233d5743 print details on error msg (e.g. PermissionError on specific file) 2020-06-29 18:22:33 +02:00
svlandeg
894b8e7ff6 throw warning (instead of crashing) when temp dir can't be cleaned 2020-06-29 18:16:39 +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
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +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
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
Ines Montani
d93cbeb14f
Add warning for loose version constraints (#5536)
* Add warning for loose version constraints

* Update wording [ci skip]

* Tweak error message

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-06-05 12:42:15 +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
ffe0451d09 pretrain from config 2020-06-03 14:45:00 +02:00
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
svlandeg
03c58b488c prevent infinite loop, custom warning 2020-06-03 10:00:21 +02:00
Adriane Boyd
bbc1836581 Add rudimentary version checks on model load 2020-06-02 17:33:48 +02:00
Ines Montani
dc186afdc5 Add warning 2020-05-30 15:34:54 +02:00
svlandeg
291483157d prevent loading a pretrained Tok2Vec layer AND pretrained components 2020-05-29 17:38:33 +02:00
Ines Montani
5d3806e059 unicode -> str consistency 2020-05-24 17:20:58 +02:00
Adriane Boyd
71fe61fdcd Disallow merging 0-length spans 2020-05-22 10:14:34 +02:00
Ines Montani
891fa59009 Use backwards-compatible super() 2020-05-21 20:52:48 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +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
adrianeboyd
40e65d6f63
Fix most_similar for vectors with unused rows (#5348)
* Fix most_similar for vectors with unused rows

Address issues related to the unused rows in the vector table and
`most_similar`:

* Update `most_similar()` to search only through rows that are in use
according to `key2row`.

* Raise an error when `most_similar(n=n)` is larger than the number of
vectors in the table.

* Set and restore `_unset` correctly when vectors are added or
deserialized so that new vectors are added in the correct row.

* Set data and keys to the same length in `Vocab.prune_vectors()` to
avoid spurious entries in `key2row`.

* Fix regression test using `most_similar`

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 16:41:26 +02:00
adrianeboyd
70da1fd2d6
Add warning for misaligned character offset spans (#5007)
* Add warning for misaligned character offset spans

* Resolve conflict

* Filter warnings in example scripts

Filter warnings in example scripts to show warnings once, in particular
warnings about misaligned entities.

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-19 16:01:18 +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
svlandeg
e0fda2bd81 throw warning when model_cfg is None 2020-05-15 11:02:10 +02:00
Ilia Ivanov
712d9d4820 fixup! Fix ErrorsWithCodes().__class__ return value 2020-05-14 15:45:58 +02:00
Ilia Ivanov
a987e9e45d Fix ErrorsWithCodes().__class__ return value 2020-05-14 14:14:15 +02:00
adrianeboyd
113e7981d0
Check that row is within bounds when adding vector (#5430)
Check that row is within bounds for the vector data array when adding a
vector.

Don't add vectors with rank OOV_RANK in `init-model` (change is due to
shift from OOV as 0 to OOV as OOV_RANK).
2020-05-13 22:08:28 +02:00
Ines Montani
efec28ce70
Merge pull request #5367 from adrianeboyd/feature/simplify-warnings-v2 2020-04-29 12:55:37 +02:00
adrianeboyd
a6e521cd79
Add is_sent_end token property (#5375)
Reconstruction of the original PR #4697 by @MiniLau.

Removes unused `SENT_END` symbol and `IS_SENT_END` from `Matcher` schema
because the Matcher is only going to be able to support `IS_SENT_START`.
2020-04-29 12:53:16 +02:00
Adriane Boyd
bc39f97e11 Simplify warnings 2020-04-28 13:37:37 +02:00
adrianeboyd
84e06f9fb7
Improve GoldParse NER alignment (#5335)
Improve GoldParse NER alignment by including all cases where the start
and end of the NER span can be aligned, regardless of internal
tokenization differences.

To do this, convert BILUO tags to character offsets, check start/end
alignment with `doc.char_span()`, and assign the BILUO tags for the
aligned spans. Alignment for `O/-` tags is handled through the
one-to-one and multi alignments.
2020-04-23 16:58:23 +02:00
Paolo Arduin
1ca32d8f9c
Matcher support for Span as well as Doc (#5113)
* Matcher support for Span, as well as Doc #5056

* Removes an import unused

* Signed contributors agreement

* Code optimization and better test

* Add error message for bad Matcher call argument

* Fix merging
2020-04-15 13:51:33 +02:00
adrianeboyd
3d2c308906
Add Doc init from list of words and text (#5251)
* Add Doc init from list of words and text

Add an option to initialize a `Doc` from a text and list of words where
the words may or may not include all whitespace tokens. If the text and
words are mismatched, raise an error.

* Fix error code

* Remove all whitespace before aligning words/text

* Move words/text init to util function

* Update error message

* Rename to get_words_and_spaces

* Fix formatting
2020-04-14 19:15:52 +02:00
adrianeboyd
d107afcffb
Raise error for inplace resize with new vector dim (#5228)
Raise an error if there is an attempt to resize the vectors in place with
a different vector dimension.
2020-04-02 10:43:13 +02:00
adrianeboyd
963bd890c1
Modify Vector.resize to work with cupy and improve resizing (#5216)
* Modify Vector.resize to work with cupy

Modify `Vectors.resize` to work with cupy. Modify behavior when resizing
to a different vector dimension so that individual vectors are truncated
or extended with zeros instead of having the original values filled into
the new shape without regard for the original axes.

* Update spacy/tests/vocab_vectors/test_vectors.py

Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-03-29 13:51:20 +02:00
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
adrianeboyd
9be90dbca3
Improve token head verification (#5079)
* Improve token head verification

Improve the verification for valid token heads when heads are set:

* in `Token.head`: heads come from the same document
* in `Doc.from_array()`: head indices are within the bounds of the
document

* Improve error message
2020-03-03 21:44:51 +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
7efaa76168 Update errors.py 2020-02-28 12:23:31 +01:00
Ines Montani
37691e6d5d Simplify warnings 2020-02-28 12:20:23 +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
a3335d36b8 Merge branch 'develop' into refactor/remove-symlinks 2020-02-18 17:22:20 +01:00
Ines Montani
09cbeaef27 Remove symlinks, data dir and related stuff 2020-02-18 17:20:17 +01:00
Ines Montani
1278161f47 Tidy up and fix issues 2020-02-18 15:17:03 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
adrianeboyd
adc9745718 Modify morphology to support arbitrary features (#4932)
* Restructure tag maps for MorphAnalysis changes

Prepare tag maps for upcoming MorphAnalysis changes that allow
arbritrary features.

* Use default tag map rather than duplicating for ca / uk / vi

* Import tag map into defaults for ga

* Modify tag maps so all morphological fields and features are strings
  * Move features from `"Other"` to the top level
  * Rewrite tuples as strings separated by `","`

* Rewrite morph symbols for fr lemmatizer as strings

* Export MorphAnalysis under spacy.tokens

* Modify morphology to support arbitrary features

Modify `Morphology` and `MorphAnalysis` so that arbitrary features are
supported.

* Modify `MorphAnalysisC` so that it can support arbitrary features and
multiple values per field. `MorphAnalysisC` is redesigned to contain:
  * key: hash of UD FEATS string of morphological features
  * array of `MorphFeatureC` structs that each contain a hash of `Field`
and `Field=Value` for a given morphological feature, which makes it
possible to:
    * find features by field
    * represent multiple values for a given field

* `get_field()` is renamed to `get_by_field()` and is no longer `nogil`.
Instead a new helper function `get_n_by_field()` is `nogil` and returns
`n` features by field.

* `MorphAnalysis.get()` returns all possible values for a field as a
list of individual features such as `["Tense=Pres", "Tense=Past"]`.

* `MorphAnalysis`'s `str()` and `repr()` are the UD FEATS string.

* `Morphology.feats_to_dict()` converts a UD FEATS string to a dict
where:
  * Each field has one entry in the dict
  * Multiple values remain separated by a separator in the value string

* `Token.morph_` returns the UD FEATS string and you can set
`Token.morph_` with a UD FEATS string or with a tag map dict.

* Modify get_by_field to use np.ndarray

Modify `get_by_field()` to use np.ndarray. Remove `max_results` from
`get_n_by_field()` and always iterate over all the fields.

* Rewrite without MorphFeatureC

* Add shortcut for existing feats strings as keys

Add shortcut for existing feats strings as keys in `Morphology.add()`.

* Check for '_' as empty analysis when adding morphs

* Extend helper converters in Morphology

Add and extend helper converters that convert and normalize between:

* UD FEATS strings (`"Case=dat,gen|Number=sing"`)
* per-field dict of feats (`{"Case": "dat,gen", "Number": "sing"}`)
* list of individual features (`["Case=dat", "Case=gen",
"Number=sing"]`)

All converters sort fields and values where applicable.
2020-01-23 22:01:54 +01:00
Sofie Van Landeghem
6e9b61b49d add warning in debug_data for punctuation in entities (#4853) 2020-01-06 14:59:28 +01:00
Sofie Van Landeghem
581eeed98b Warning goldparse (#4851)
* label in span not writable anymore

* Revert "label in span not writable anymore"

This reverts commit ab442338c8.

* provide more friendly error msg for parsing file
2020-01-01 13:16:48 +01:00
Ivan Echevarria
ef13e0c038 Add n_process to Language.pipe documentation (#4842) [ci skip]
* Add n_process to documentation

* Auto-format and add default [ci skip]

Co-authored-by: Ines Montani <ines@ines.io>
2019-12-29 14:23:33 +01:00
Ines Montani
33a2682d60
Add better schemas and validation using Pydantic (#4831)
* 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

* Add better schemas and validation using Pydantic

* Revert lookups.md

* Remove unused import

* Update spacy/schemas.py

Co-Authored-By: Sebastián Ramírez <tiangolo@gmail.com>

* Various small fixes

* Fix docstring

Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
2019-12-25 12:39:49 +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
de33b6d566 Merge branch 'master' into develop 2019-12-21 21:15:46 +01:00
Sofie Van Landeghem
732142bf28 facilitate larger training files (#4827)
* add warning for large file and change start var to long

* type for file_length
2019-12-21 21:12:19 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
Sofie Van Landeghem
8ebbb85117 Documentation for PhraseMatcher constructor (#4826)
* add max_length as argument for init PhraseMatcher

* improve error message too
2019-12-20 23:00:04 +01:00
Sofie Van Landeghem
f9b541f9ef More robust set entities method in KB (#4794)
* add unit test for setting entities with duplicate identifiers

* count the number of actual unique identifiers and throw duplicate warning
2019-12-13 10:45:29 +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
Ines Montani
2160ecfc92 Fix typo [ci skip] 2019-11-25 13:08:19 +01:00
adrianeboyd
2d8c6e1124 Iterate over lr_edges until sents are correct (#4702)
Iterate over lr_edges until all heads are within the current sentence.
Instead of iterating over them for a fixed number of iterations, check
whether the sentence boundaries are correct for the heads and stop when
all are correct. Stop after a maximum of 10 iterations, providing a
warning in this case since the sentence boundaries may not be correct.
2019-11-25 13:06:36 +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
adrianeboyd
faaa832518 Generalize handling of tokenizer special cases (#4259)
* Generalize handling of tokenizer special cases

Handle tokenizer special cases more generally by using the Matcher
internally to match special cases after the affix/token_match
tokenization is complete.

Instead of only matching special cases while processing balanced or
nearly balanced prefixes and suffixes, this recognizes special cases in
a wider range of contexts:

* Allows arbitrary numbers of prefixes/affixes around special cases
* Allows special cases separated by infixes

Existing tests/settings that couldn't be preserved as before:

* The emoticon '")' is no longer a supported special case
* The emoticon ':)' in "example:)" is a false positive again

When merged with #4258 (or the relevant cache bugfix), the affix and
token_match properties should be modified to flush and reload all
special cases to use the updated internal tokenization with the Matcher.

* Remove accidentally added test case

* Really remove accidentally added test

* Reload special cases when necessary

Reload special cases when affixes or token_match are modified. Skip
reloading during initialization.

* Update error code number

* Fix offset and whitespace in Matcher special cases

* Fix offset bugs when merging and splitting tokens
* Set final whitespace on final token in inserted special case

* Improve cache flushing in tokenizer

* Separate cache and specials memory (temporarily)
* Flush cache when adding special cases
* Repeated `self._cache = PreshMap()` and `self._specials = PreshMap()`
are necessary due to this bug:
https://github.com/explosion/preshed/issues/21

* Remove reinitialized PreshMaps on cache flush

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Use special Matcher only for cases with affixes

* Reinsert specials cache checks during normal tokenization for special
cases as much as possible
  * Additionally include specials cache checks while splitting on infixes
  * Since the special Matcher needs consistent affix-only tokenization
    for the special cases themselves, introduce the argument
    `with_special_cases` in order to do tokenization with or without
    specials cache checks
* After normal tokenization, postprocess with special cases Matcher for
special cases containing affixes

* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add test for #4248, clean up test

* Improve efficiency of special cases handling

* Use PhraseMatcher instead of Matcher
* Improve efficiency of merging/splitting special cases in document
  * Process merge/splits in one pass without repeated token shifting
  * Merge in place if no splits

* Update error message number

* Remove UD script modifications

Only used for timing/testing, should be a separate PR

* Remove final traces of UD script modifications

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Switch to PhraseMatcher.find_matches

* Switch to local cdef functions for span filtering

* Switch special case reload threshold to variable

Refer to variable instead of hard-coded threshold

* Move more of special case retokenize to cdef nogil

Move as much of the special case retokenization to nogil as possible.

* Rewrap sort as stdsort for OS X

* Rewrap stdsort with specific types

* Switch to qsort

* Fix merge

* Improve cmp functions

* Fix realloc

* Fix realloc again

* Initialize span struct while retokenizing

* Temporarily skip retokenizing

* Revert "Move more of special case retokenize to cdef nogil"

This reverts commit 0b7e52c797.

* Revert "Switch to qsort"

This reverts commit a98d71a942.

* Fix specials check while caching

* Modify URL test with emoticons

The multiple suffix tests result in the emoticon `:>`, which is now
retokenized into one token as a special case after the suffixes are
split off.

* Refactor _apply_special_cases()

* Use cdef ints for span info used in multiple spots

* Modify _filter_special_spans() to prefer earlier

Parallel to #4414, modify _filter_special_spans() so that the earlier
span is preferred for overlapping spans of the same length.

* Replace MatchStruct with Entity

Replace MatchStruct with Entity since the existing Entity struct is
nearly identical.

* Replace Entity with more general SpanC

* Replace MatchStruct with SpanC

* Add error in debug-data if no dev docs are available (see #4575)

* Update azure-pipelines.yml

* Revert "Update azure-pipelines.yml"

This reverts commit ed1060cf59.

* Use latest wasabi

* Reorganise install_requires

* add dframcy to universe.json (#4580)

* Update universe.json [ci skip]

* Fix multiprocessing for as_tuples=True (#4582)

* Fix conllu script (#4579)

* force extensions to avoid clash between example scripts

* fix arg order and default file encoding

* add example config for conllu script

* newline

* move extension definitions to main function

* few more encodings fixes

* Add load_from_docbin example [ci skip]

TODO: upload the file somewhere

* Update README.md

* Add warnings about 3.8 (resolves #4593) [ci skip]

* Fixed typo: Added space between "recognize" and "various" (#4600)

* Fix DocBin.merge() example (#4599)

* Replace function registries with catalogue (#4584)

* Replace functions registries with catalogue

* Update __init__.py

* Fix test

* Revert unrelated flag [ci skip]

* Bugfix/dep matcher issue 4590 (#4601)

* add contributor agreement for prilopes

* add test for issue #4590

* fix on_match params for DependencyMacther (#4590)

* Minor updates to language example sentences (#4608)

* Add punctuation to Spanish example sentences

* Combine multilanguage examples for lang xx

* Add punctuation to nb examples

* Always realloc to a larger size

Avoid potential (unlikely) edge case and cymem error seen in #4604.

* Add error in debug-data if no dev docs are available (see #4575)

* Update debug-data for GoldCorpus / Example

* Ignore None label in misaligned NER data
2019-11-13 21:24:35 +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
Ines Montani
85f2b04c45
Support span._. in component decorator attrs (#4555)
* Support span._. in component decorator attrs

* Adjust error [ci skip]
2019-10-30 17:19:36 +01:00
Ines Montani
92018b9cd4 Tidy up and auto-format 2019-10-28 12:36:23 +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
adrianeboyd
f5c551a43a Checks/errors related to ill-formed IOB input in CLI convert and debug-data (#4487)
* Error for ill-formed input to iob_to_biluo()

Check for empty label in iob_to_biluo(), which can result from
ill-formed input.

* Check for empty NER label in debug-data
2019-10-21 12:20:28 +02:00
Ines Montani
692d7f4291 Fix formatting [ci skip] 2019-10-18 11:33:38 +02:00
Sofie Van Landeghem
2d249a9502 KB extensions and better parsing of WikiData (#4375)
* fix overflow error on windows

* more documentation & logging fixes

* md fix

* 3 different limit parameters to play with execution time

* bug fixes directory locations

* small fixes

* exclude dev test articles from prior probabilities stats

* small fixes

* filtering wikidata entities, removing numeric and meta items

* adding aliases from wikidata also to the KB

* fix adding WD aliases

* adding also new aliases to previously added entities

* fixing comma's

* small doc fixes

* adding subclassof filtering

* append alias functionality in KB

* prevent appending the same entity-alias pair

* fix for appending WD aliases

* remove date filter

* remove unnecessary import

* small corrections and reformatting

* remove WD aliases for now (too slow)

* removing numeric entities from training and evaluation

* small fixes

* shortcut during prediction if there is only one candidate

* add counts and fscore logging, remove FP NER from evaluation

* fix entity_linker.predict to take docs instead of single sentences

* remove enumeration sentences from the WP dataset

* entity_linker.update to process full doc instead of single sentence

* spelling corrections and dump locations in readme

* NLP IO fix

* reading KB is unnecessary at the end of the pipeline

* small logging fix

* remove empty files
2019-10-14 12:28:53 +02:00
Sofie Van Landeghem
5efae495f1 Error when removing a matcher rule that doesn't exist (#4420)
* raise specific error when removing a matcher rule that doesn't exist

* rephrasing
2019-10-10 14:01:53 +02:00
Ines Montani
c4f95c1569 Update formatting and docstrings [ci skip] 2019-10-08 12:25:23 +02:00
Matthew Honnibal
ddd6fda59c Add registry for model creation functions ('architectures') (#4395)
* Add architecture registry

* Add test for arch registry

* Add error for model architectures
2019-10-08 12:21:03 +02:00
tamuhey
650cbfe82d multiprocessing pipe (#1303) (#4371)
* refactor: separate formatting docs and golds in Language.update

* fix return typo

* add pipe test

* unpickleable object cannot be assigned to p.map

* passed test pipe

* passed test!

* pipe terminate

* try pipe

* passed test

* fix ch

* add comments

* fix len(texts)

* add comment

* add comment

* fix: multiprocessing of pipe is not supported in 2

* test: use assert_docs_equal

* fix: is_python3 -> is_python2

* fix: change _pipe arg to use functools.partial

* test: add vector modification test

* test: add sample ner_pipe and user_data pipe

* add warnings test

* test: fix user warnings

* test: fix warnings capture

* fix: remove islice import

* test: remove warnings test

* test: add stream test

* test: rename

* fix: multiproc stream

* fix: stream pipe

* add comment

* mp.Pipe seems to be able to use with relative small data

* test: skip stream test in python2

* sort imports

* test: add reason to skiptest

* fix: use pipe for docs communucation

* add comments

* add comment
2019-10-08 12:20:55 +02:00
Ines Montani
b6670bf0c2 Use consistent spelling 2019-10-02 10:37:39 +02:00
Ines Montani
475e3188ce Add docs on filtering overlapping spans for merging (resolves #4352) [ci skip] 2019-10-01 21:59:50 +02:00
Ines Montani
cf65a80f36 Refactor lemmatizer and data table integration (#4353)
* Move test

* Allow default in Lookups.get_table

* Start with blank tables in Lookups.from_bytes

* Refactor lemmatizer to hold instance of Lookups

* Get lookups table within the lemmatization methods to make sure it references the correct table (even if the table was replaced or modified, e.g. when loading a model from disk)
* Deprecate other arguments on Lemmatizer.__init__ and expect Lookups for consistency
* Remove old and unsupported Lemmatizer.load classmethod
* Refactor language-specific lemmatizers to inherit as much as possible from base class and override only what they need

* Update tests and docs

* Fix more tests

* Fix lemmatizer

* Upgrade pytest to try and fix weird CI errors

* Try pytest 4.6.5
2019-10-01 21:36:03 +02:00
Ines Montani
3297a19545 Warn in Tagger.begin_training if no lemma tables are available (#4351) 2019-10-01 15:13:55 +02:00
adrianeboyd
c23edf302b Replace PhraseMatcher with trie-based search (#4309)
* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Store docs internally only as attr lists

* Reduces size for pickle

* Remove duplicate keywords store

Now that docs are stored as lists of attr hashes, there's no need to
have the duplicate _keywords store.
2019-09-27 16:22:34 +02:00
Ines Montani
52904b7270 Raise if on_match is not callable or None 2019-09-24 23:06:24 +02:00
Ines Montani
16aa092fb5 Improve Morphology errors (#4314)
* Improve Morphology errors

* Also clean up some other errors

* Update errors.py
2019-09-21 14:37:06 +02:00
Matthew Honnibal
46c02d25b1 Merge changes to test_ner 2019-09-18 21:41:24 +02:00
Sofie Van Landeghem
de5a9ecdf3 Distinction between outside, missing and blocked NER annotations (#4307)
* remove duplicate unit test

* unit test (currently failing) for issue 4267

* bugfix: ensure doc.ents preserves kb_id annotations

* fix in setting doc.ents with empty label

* rename

* test for presetting an entity to a certain type

* allow overwriting Outside + blocking presets

* fix actions when previous label needs to be kept

* fix default ent_iob in set entities

* cleaner solution with U- action

* remove debugging print statements

* unit tests with explicit transitions and is_valid testing

* remove U- from move_names explicitly

* remove unit tests with pre-trained models that don't work

* remove (working) unit tests with pre-trained models

* clean up unit tests

* move unit tests

* small fixes

* remove two TODO's from doc.ents comments
2019-09-18 21:37:17 +02:00
Ines Montani
dd1810f05a Update DocBin and add docs 2019-09-18 20:23:21 +02:00
Ines Montani
3ba5238282 Make "unnamed vectors" warning a real warning 2019-09-16 15:16:12 +02:00
adrianeboyd
b5d999e510 Add textcat to train CLI (#4226)
* Add doc.cats to spacy.gold at the paragraph level

Support `doc.cats` as `"cats": [{"label": string, "value": number}]` in
the spacy JSON training format at the paragraph level.

* `spacy.gold.docs_to_json()` writes `docs.cats`

* `GoldCorpus` reads in cats in each `GoldParse`

* Update instances of gold_tuples to handle cats

Update iteration over gold_tuples / gold_parses to handle addition of
cats at the paragraph level.

* Add textcat to train CLI

* Add textcat options to train CLI
* Add textcat labels in `TextCategorizer.begin_training()`
* Add textcat evaluation to `Scorer`:
  * For binary exclusive classes with provided label: F1 for label
  * For 2+ exclusive classes: F1 macro average
  * For multilabel (not exclusive): ROC AUC macro average (currently
relying on sklearn)
* Provide user info on textcat evaluation settings, potential
incompatibilities
* Provide pipeline to Scorer in `Language.evaluate` for textcat config
* Customize train CLI output to include only metrics relevant to current
pipeline
* Add textcat evaluation to evaluate CLI

* Fix handling of unset arguments and config params

Fix handling of unset arguments and model confiug parameters in Scorer
initialization.

* Temporarily add sklearn requirement

* Remove sklearn version number

* Improve Scorer handling of models without textcats

* Fixing Scorer handling of models without textcats

* Update Scorer output for python 2.7

* Modify inf in Scorer for python 2.7

* Auto-format

Also make small adjustments to make auto-formatting with black easier and produce nicer results

* Move error message to Errors

* Update documentation

* Add cats to annotation JSON format [ci skip]

* Fix tpl flag and docs [ci skip]

* Switch to internal roc_auc_score

Switch to internal `roc_auc_score()` adapted from scikit-learn.

* Add AUCROCScore tests and improve errors/warnings

* Add tests for AUCROCScore and roc_auc_score
* Add missing error for only positive/negative values
* Remove unnecessary warnings and errors

* Make reduced roc_auc_score functions private

Because most of the checks and warnings have been stripped for the
internal functions and access is only intended through `ROCAUCScore`,
make the functions for roc_auc_score adapted from scikit-learn private.

* Check that data corresponds with multilabel flag

Check that the training instances correspond with the multilabel flag,
adding the multilabel flag if required.

* Add textcat score to early stopping check

* Add more checks to debug-data for textcat

* Add example training data for textcat

* Add more checks to textcat train CLI

* Check configuration when extending base model
* Fix typos

* Update textcat example data

* Provide licensing details and licenses for data
* Remove two labels with no positive instances from jigsaw-toxic-comment
data.


Co-authored-by: Ines Montani <ines@ines.io>
2019-09-15 22:31:31 +02:00
Sofie Van Landeghem
2ae5db580e dim bugfix when incl_prior is False (#4285) 2019-09-13 16:30:05 +02:00
Ines Montani
3e8f136ba7 💫 WIP: Basic lookup class scaffolding and JSON for all lemmatizer data (#4178)
* Improve load_language_data helper

* WIP: Add Lookups implementation

* Start moving lemma data over to JSON

* WIP: move data over for more languages

* Convert more languages

* Fix lemmatizer fixtures in tests

* Finish conversion

* Auto-format JSON files

* Fix test for now

* Make sure tables are stored on instance

* Update docstrings

* Update docstrings and errors

* Update test

* Add Lookups.__len__

* Add serialization methods

* Add Lookups.remove_table

* Use msgpack for serialization to disk

* Fix file exists check

* Try using OrderedDict for everything

* Update .flake8 [ci skip]

* Try fixing serialization

* Update test_lookups.py

* Update test_serialize_vocab_strings.py

* Fix serialization for lookups

* Fix lookups

* Fix lookups

* Fix lookups

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Give up on serialization test

* Xfail more serialization tests for 3.5

* Fix lookups for 2.7
2019-09-09 19:17:55 +02:00
adrianeboyd
2d17b047e2 Check for is_tagged/is_parsed for Matcher attrs (#4163)
Check for relevant components in the pipeline when Matcher is called,
similar to the checks for PhraseMatcher in #4105.

* keep track of attributes seen in patterns

* when Matcher is called on a Doc, check for is_tagged for LEMMA, TAG,
POS and for is_parsed for DEP
2019-08-21 20:52:36 +02:00
adrianeboyd
8fe7bdd0fa Improve token pattern checking without validation (#4105)
* Fix typo in rule-based matching docs

* Improve token pattern checking without validation

Add more detailed token pattern checks without full JSON pattern validation and
provide more detailed error messages.

Addresses #4070 (also related: #4063, #4100).

* Check whether top-level attributes in patterns and attr for PhraseMatcher are
  in token pattern schema

* Check whether attribute value types are supported in general (as opposed to
  per attribute with full validation)

* Report various internal error types (OverflowError, AttributeError, KeyError)
  as ValueError with standard error messages

* Check for tagger/parser in PhraseMatcher pipeline for attributes TAG, POS,
  LEMMA, and DEP

* Add error messages with relevant details on how to use validate=True or nlp()
  instead of nlp.make_doc()

* Support attr=TEXT for PhraseMatcher

* Add NORM to schema

* Expand tests for pattern validation, Matcher, PhraseMatcher, and EntityRuler

* Remove unnecessary .keys()

* Rephrase error messages

* Add another type check to Matcher

Add another type check to Matcher for more understandable error messages
in some rare cases.

* Support phrase_matcher_attr=TEXT for EntityRuler

* Don't use spacy.errors in examples and bin scripts

* Fix error code

* Auto-format

Also try get Azure pipelines to finally start a build :(

* Update errors.py


Co-authored-by: Ines Montani <ines@ines.io>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2019-08-21 14:00:37 +02:00
Ines Montani
f580302673 Tidy up and auto-format 2019-08-20 17:36:34 +02:00
Ines Montani
104125edd2 Tidy up errors 2019-08-20 16:03:45 +02:00
Ines Montani
cc76a26fe8 Raise error for negative arc indices (closes #3917) 2019-08-20 15:51:37 +02:00
Ines Montani
009280fbc5 Tidy up and auto-format 2019-08-18 15:09:16 +02:00
adrianeboyd
2f9b28c218 Provide more info in cycle error message E069 (#4123)
Provide the tokens in the cycle and the first 50 tokens from document in
the error message so it's easier to track down the location of the cycle
in the data.

Addresses feature request in #3698.
2019-08-15 18:08:28 +02:00
Sofie Van Landeghem
0ba1b5eebc CLI scripts for entity linking (wikipedia & generic) (#4091)
* document token ent_kb_id

* document span kb_id

* update pipeline documentation

* prior and context weights as bool's instead

* entitylinker api documentation

* drop for both models

* finish entitylinker documentation

* small fixes

* documentation for KB

* candidate documentation

* links to api pages in code

* small fix

* frequency examples as counts for consistency

* consistent documentation about tensors returned by predict

* add entity linking to usage 101

* add entity linking infobox and KB section to 101

* entity-linking in linguistic features

* small typo corrections

* training example and docs for entity_linker

* predefined nlp and kb

* revert back to similarity encodings for simplicity (for now)

* set prior probabilities to 0 when excluded

* code clean up

* bugfix: deleting kb ID from tokens when entities were removed

* refactor train el example to use either model or vocab

* pretrain_kb example for example kb generation

* add to training docs for KB + EL example scripts

* small fixes

* error numbering

* ensure the language of vocab and nlp stay consistent across serialization

* equality with =

* avoid conflict in errors file

* add error 151

* final adjustements to the train scripts - consistency

* update of goldparse documentation

* small corrections

* push commit

* turn kb_creator into CLI script (wip)

* proper parameters for training entity vectors

* wikidata pipeline split up into two executable scripts

* remove context_width

* move wikidata scripts in bin directory, remove old dummy script

* refine KB script with logs and preprocessing options

* small edits

* small improvements to logging of EL CLI script
2019-08-13 15:38:59 +02:00
Jeno
15be09ceb0 Raise error if annotation dict in simple training style has unexpected keys #4074 (#4079)
* adding enhancement #4074.

* modified behavior to strictly require top level dictionary keys - issue #4074

* pass expected keys to error message and add links as expected top level key
2019-08-06 11:01:25 +02:00
Sofie Van Landeghem
f7d950de6d ensure the lang of vocab and nlp stay consistent (#4057)
* ensure the language of vocab and nlp stay consistent across serialization

* equality with =
2019-08-01 17:13:01 +02:00
Matthew Honnibal
73e095923f 💫 Improve error message when model.from_bytes() dies (#4014)
* Improve error message when model.from_bytes() dies

When Thinc's model.from_bytes() is called with a mismatched model, often
we get a particularly ungraceful error,

e.g. "AttributeError: FunctionLayer has no attribute G"

This is because we're trying to load the parameters for something like
a LayerNorm layer, and the model architecture has some other layer there
instead. This is obviously terrible, especially since the error *type*
is wrong.

I've changed it to raise a ValueError. The error message is still
probably a bit terse, but it's hard to be sure exactly what's gone
wrong.

* Update spacy/pipeline/pipes.pyx

* Update spacy/pipeline/pipes.pyx

* Update spacy/pipeline/pipes.pyx

* Update spacy/syntax/nn_parser.pyx

* Update spacy/syntax/nn_parser.pyx

* Update spacy/pipeline/pipes.pyx

Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>

* Update spacy/pipeline/pipes.pyx

Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>


Co-authored-by: Ines Montani <ines@ines.io>
2019-07-24 11:27:34 +02:00
svlandeg
400ff342cf replace assert's with custom error messages 2019-07-23 11:52:48 +02:00
svlandeg
b1911f7105 Errors.E146 for IO error when FP is null 2019-07-22 14:56:13 +02:00