Commit Graph

647 Commits

Author SHA1 Message Date
Adriane Boyd
6aa91c7ca0 Make user_data keyword-only 2020-09-21 16:00:06 +02:00
Adriane Boyd
177df15d89 Implement Doc.set_ents 2020-09-21 15:54:05 +02:00
Adriane Boyd
13fbf6556a Merge remote-tracking branch 'upstream/develop' into feature/doc-ents-v3-2 2020-09-21 14:42:04 +02:00
Adriane Boyd
ce455f30ca Fix formatting 2020-09-21 13:53:29 +02:00
Adriane Boyd
bc02e86494 Extend Doc.__init__ with additional annotation
Mostly copying from `spacy.tests.util.get_doc`, add additional kwargs to
`Doc.__init__` to initialize the most common doc/token values.
2020-09-21 13:36:24 +02:00
Adriane Boyd
a88106e852
Remove W106: HEAD and SENT_START in doc.from_array (#6086)
* Remove W106: HEAD and SENT_START in doc.from_array

This warning was hacky and being triggered too often.

* Fix test
2020-09-18 03:01:29 +02:00
Adriane Boyd
8b650f3a78 Modify setting missing and blocked entity tokens
In order to make it easier to construct `Doc` objects as training data,
modify how missing and blocked entity tokens are set to prioritize
setting `O` and missing entity tokens for training purposes over setting
blocked entity tokens.

* `Doc.ents` setter sets tokens outside entity spans to `O` regardless
of the current state of each token

* For `Doc.ents`, setting a span with a missing label sets the `ent_iob`
to missing instead of blocked

* `Doc.block_ents(spans)` marks spans as hard `O` for use with the
`EntityRecognizer`
2020-09-17 21:27:42 +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
ab270364f1
Modify Token.morph to enable unsetting (#6043)
Modify `Token.morph` property so that `Token.c.morph` can be reset back
to an internal value of `0`. Allow setting `Token.morph` from a hash as
long as the morph string is already in the `StringStore`, setting it
indirectly through `Token.morph_` so that the value is added to the
morphology. If the hash is not in the `StringStore`, raise an error.
2020-09-13 14:06:07 +02:00
svlandeg
d0a8849e4d fix typo 2020-09-08 18:32:12 +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
Yohei Tamura
5af432e0f2
fix for empty string (#5936) 2020-09-03 10:09:03 +02:00
Sofie Van Landeghem
f7a25d69f7
Bugfix in merge_entities (#6005)
* failing test

* bugfix
2020-09-01 21:57:52 +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
svlandeg
cc926267f8 small fixes 2020-08-21 15:05:40 +02:00
Ines Montani
3ae5e02f4f Update docs, types and API consistency 2020-08-17 16:45:24 +02:00
Ines Montani
c099f6eece Add Token.lex 2020-08-10 16:43:52 +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
ef2c67cca5
Add DocBin to/from_disk methods and update docs (#5892)
* Add DocBin to/from_disk methods and update docs

* Use DocBin.from_disk in Corpus
2020-08-07 14:30:59 +02:00
Ines Montani
56c17973aa Use "raise ... from" in custom errors for better tracebacks 2020-08-05 23:53:21 +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
Adriane Boyd
c62fd878a3
Allow Doc.char_span to snap to token boundaries (#5849)
* Allow Doc.char_span to snap to token boundaries

Add a `mode` option to allow `Doc.char_span` to snap to token
boundaries. The `mode` options:

* `strict`: character offsets must match token boundaries (default, same as
before)
* `inside`: all tokens completely within the character span
* `outside`: all tokens at least partially covered by the character span

Add a new helper function `token_by_char` that returns the token
corresponding to a character position in the text. Update
`token_by_start` and `token_by_end` to use `token_by_char` for more
efficient searching.

* Remove unused import

* Rename mode to alignment_mode

Rename `mode` to `alignment_mode` with the options
`strict`/`contract`/`expand`. Any unrecognized modes are silently
converted to `strict`.
2020-08-04 13:36:32 +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
b0f57a0cac Update docs and consistency 2020-07-29 15:14:07 +02:00
Ines Montani
62266fb828 Fix broken type annotation 2020-07-29 14:49:49 +02:00
Ines Montani
e0ffe36e79 Update docstrings, docs and types 2020-07-29 11:36:42 +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
fdb8815ef5
Minor refactor for Morphology and MorphAnalysis (#5804)
* `MorphAnalysis.get` returns only the field values
* Move `_normalize_props` inside `Morphology` as
`Morphology.normalize_attrs` and simplify
  * Simplify POS field detection/conversion
  * Convert all non-POS features to strings
* `Morphology` returns an empty string for a missing morph to align
with the FEATS string returned for an existing morph
* Remove unused `list_to_feats`
2020-07-24 09:28:06 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Adriane Boyd
a7a7e0d2a6
Add morph to morphology in Doc.from_array (#5762)
* Add morph to morphology in Doc.from_array

Add morphological analyses to morphology table in `Doc.from_array`.

* Use separate vocab in DocBin roundtrip test
2020-07-14 14:07:35 +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
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
Matthw Honnibal
3f6f087113 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2020-07-04 23:52:12 +02:00
Matthw Honnibal
5642507823 Fix has_unknown_spaces in Doc.copy 2020-07-04 23:52:02 +02:00
Ines Montani
37c3bb35e2 Auto-format 2020-07-04 16:25:34 +02:00
Matthew Honnibal
a902b5f217
Record whether Doc objects are built from known spacing (#5697)
* Tell convert CLI to store user data for Doc

* Remove assert

* Add has_unknwon_spaces flag on Doc

* Do not tokenize docs with unknown spaces in Corpus

* Handle conversion of unknown spaces in Example

* Fixes

* Fixes

* Draft has_known_spaces support in DocBin

* Add test for serialize has_unknown_spaces

* Fix DocBin serialization when has_unknown_spaces

* Use serialization in test
2020-07-03 12:58:16 +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
Adriane Boyd
a723fa02a1
DocBin: add version number, missing attributes and strings (#5685)
* Add version number to DocBin

Add a version number to DocBin for future use.

* Add POS to all attributes in DocBin

* Add morph string to strings in DocBin

* Update DocBin API

* Add string for ENT_KB_ID in DocBin
2020-07-02 17:41:50 +02:00
Adriane Boyd
a77c4c3465
Add strings and ENT_KB_ID to Doc serialization (#5691)
* Add strings for all writeable Token attributes to `Doc.to/from_bytes()`.
* Add ENT_KB_ID to default attributes.
2020-07-02 17:11:57 +02:00
Ines Montani
60c2695131 Remove deprecated methods 2020-07-01 22:33:39 +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
d94e961f14
Fix polarity of Token.is_oov and Lexeme.is_oov (#5634)
Fix `Token.is_oov` and `Lexeme.is_oov` so they return `True` when the
lexeme does **not** have a vector.
2020-06-23 13:29:51 +02:00
svlandeg
dc069e90b3 fix token.morph_ for v.3 (cf PR #5517) 2020-06-20 21:13:11 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
Adriane Boyd
e1b7cbd197 Remove MorphAnalysis __str__ and __repr__ 2020-05-29 14:33:47 +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
Adriane Boyd
71fe61fdcd Disallow merging 0-length spans 2020-05-22 10:14:34 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
adrianeboyd
a5cd203284
Reduce stored lexemes data, move feats to lookups (#5238)
* Reduce stored lexemes data, move feats to lookups

* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
  * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
  * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
    lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
  * Remove `SerializedLexemeC`
  * Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
  * Always create `Vocab.lookups` table `lexeme_norm` for
    normalization exceptions
  * Load base exceptions from `lang.norm_exceptions`, but load
    language-specific exceptions from lookups
  * Set `lex_attr_getter[NORM]` including new lookups table in
    `BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
  existing normalizations with the new normalizations (as a replacement
  for the previous step that replaced all lexemes data with the
  deserialized data)

* Skip English normalization test

Skip English normalization test because the data is now in
`spacy-lookups-data`.

* Remove norm exceptions

Moved to spacy-lookups-data.

* Move norm exceptions test to spacy-lookups-data

* Load extra lookups from spacy-lookups-data lazily

Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.

* Skip creating lexeme cache on load

To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.

* Identify numeric values in Lexeme.set_attrs()

With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.

* Skip lexeme cache init in from_bytes

* Unskip and update lookups tests for python3.6+

* Update vocab pickle to include lookups_extra

* Update vocab serialization tests

Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".

* Re-skip lookups test because of python3.5

* Skip PROB/float values in Lexeme.set_attrs

* Convert is_oov from lexeme flag to lex in vectors

Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:14 +02:00
adrianeboyd
e63880e081
Use Token.sent_start for Span.sent (#5439)
Use `Token.sent_start` for sentence boundaries in `Span.sent` so that
`Doc.sents` and `Span.sent` return the same sentence boundaries.
2020-05-14 18:22:51 +02:00
Vishnu Priya VR
9ce059dd06
Limiting noun_chunks for specific languages (#5396)
* Limiting noun_chunks for specific langauges

* Limiting noun_chunks for specific languages

Contributor Agreement

* Addressing review comments

* Removed unused fixtures and imports

* Add fa_tokenizer in test suite

* Use fa_tokenizer in test

* Undo extraneous reformatting

Co-authored-by: adrianeboyd <adrianeboyd@gmail.com>
2020-05-14 12:58:06 +02:00
adrianeboyd
3f43c73d37
Normalize TokenC.sent_start values for Matcher (#5346)
Normalize TokenC.sent_start values to booleans for the `Matcher`.
2020-04-29 12:57:30 +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
f8ac5b9f56
bugfix in span similarity (#5155) (#5358)
* bugfix in span similarity

* also rewrite doc.pyx for clarity

* formatting

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2020-04-27 16:51:27 +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
d6d95674c1
bugfix in span similarity (#5155)
* bugfix in span similarity

* also rewrite doc.pyx for clarity

* formatting
2020-03-29 13:56:07 +02:00
Ines Montani
70ee4ef4fd Fix small errors 2020-03-26 13:47:31 +01:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
svlandeg
59000ee21d fix serialization of empty doc + unit test 2020-03-13 16:07:56 +01:00
svlandeg
1724a4f75b additional information if doc is empty 2020-03-09 18:08:18 +01:00
Sofie Van Landeghem
1a2b8fc264
set vector of merged entity (#5085)
* merge_entities sets the vector in the vocab for the merged token

* add unit test

* import unicode_literals

* move code to _merge function

* only set vector if vocab has non-zero vectors
2020-03-06 14:45:28 +01:00
Ines Montani
b0cfab317f Merge branch 'develop' into refactor/simplify-warnings 2020-03-04 16:38:55 +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
adrianeboyd
d078b47c81
Break out of infinite loop as intended (#5077) 2020-03-03 12:29:05 +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
4440a072d2
Merge pull request #5006 from svlandeg/bugfix/multiproc-underscore
load Underscore state when multiprocessing
2020-02-25 14:46:02 +01:00
Tom Keefe
ddf63b97a8
make idx available via to_array (#5030) 2020-02-22 14:13:06 +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
adrianeboyd
3b22eb651b
Sync Span __eq__ and __hash__ (#5005)
* Sync Span __eq__ and __hash__

Use the same tuple for `__eq__` and `__hash__`, including all attributes
except `vector` and `vector_norm`.

* Update entity comparison in tests

Update `assert_docs_equal()` test util to compare `Span` properties for
ents rather than `Span` objects.
2020-02-16 17:20:36 +01:00
adrianeboyd
5b102963bf
Require HEAD for is_parsed in Doc.from_array() (#5011)
Modify flag settings so that `DEP` is not sufficient to set `is_parsed`
and only run `set_children_from_heads()` if `HEAD` is provided.

Then the combination `[SENT_START, DEP]` will set deps and not clobber
sent starts with a lot of one-word sentences.
2020-02-16 17:17:09 +01:00
svlandeg
ecbb9c4b9f load Underscore state when multiprocessing 2020-02-12 11:50:42 +01:00
Ines Montani
2ed49404e3
Improve setup.py and call into Cython directly (#4952)
* Improve setup.py and call into Cython directly

* Add numpy to setup_requires

* Improve clean helper

* Update setup.cfg

* Try if it builds without pyproject.toml

* Update MANIFEST.in
2020-02-11 17:46:18 -05:00
Sofie Van Landeghem
781e95cf53
Ensure doc.similarity returns a float (on develop) (#4969) 2020-02-10 20:31:49 -05:00
adrianeboyd
5ee9d8c9b8
Add MORPH attr, add support in retokenizer (#4947)
* Add MORPH attr / symbol for token attrs

* Update retokenizer for MORPH
2020-01-29 17:45:46 +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
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
a1b22e90cd serialize ENT_ID (#4852)
* expand serialization test for custom token attribute

* add failing test for issue 4849

* define ENT_ID as attr and use in doc serialization

* fix few typos
2020-01-06 14:57:34 +01:00
Anastasiia Iurshina
1830a12578 Fixes typos (#4843)
* Fixes typos

* Fixes typo

* Contributor agreement
2019-12-29 14:24:13 +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
tamuhey
1707e77c5e add char_span to Span (#4793) 2019-12-13 15:54:58 +01:00
adrianeboyd
676e75838f Include Doc.cats in serialization of Doc and DocBin (#4774)
* Include Doc.cats in to_bytes()

* Include Doc.cats in DocBin serialization

* Add tests for serialization of cats

Test serialization of cats for Doc and DocBin.
2019-12-06 14:07:39 +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
91f89f9693 Fix realloc in retokenizer.split() (#4606)
Always realloc to a size larger than `doc.max_length` in
`retokenizer.split()` (or cymem will throw errors).
2019-11-11 16:26:46 +01:00
Ines Montani
a90025b277
Fix serialization of extension attr values in DocBin (#4540) 2019-10-28 16:02:13 +01:00
Ines Montani
6dd2832438 Use numpy.frombuffer instead of fromstring
Deprecation warning says we should do this
2019-10-24 16:18:41 +02:00
Sofie Van Landeghem
48886afc78 prevent zero-length mem alloc (#4429)
* raise specific error when removing a matcher rule that doesn't exist

* rephrasing

* goldparse init: allocate fields only if doc is not empty

* avoid zero length alloc in saving tokenizer cache

* avoid allocating zero length mem in matcher

* asserts to avoid allocating zero length mem

* fix zero-length allocation in matcher

* bump cymem version

* revert cymem version bump
2019-10-22 16:54:33 +02:00
Sofie Van Landeghem
4e7259c6cf Bugfix initializing DocBin with attributes (#4368)
* docbin init fix + documentation fix + unit tests

* newline

* try with zlib instead of gzip (python 2 incompatibilities)
2019-10-03 14:48:45 +02:00