Commit Graph

11157 Commits

Author SHA1 Message Date
Matthew Honnibal
ba6d78132d Fix dev version 2020-01-30 10:35:09 +01:00
Matthew Honnibal
0c5c8c37ee Depend on tqdm 2020-01-30 10:26:03 +01:00
Ines Montani
ccef9f2f44 Update version 2020-01-29 17:52:22 +01:00
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
adrianeboyd
a365359b36
Add convert CLI option to merge CoNLL-U subtokens (#4722)
* Add convert CLI option to merge CoNLL-U subtokens

Add `-T` option to convert CLI that merges CoNLL-U subtokens into one
token in the converted data. Each CoNLL-U sentence is read into a `Doc`
and the `Retokenizer` is used to merge subtokens with features as
follows:

* `orth` is the merged token orth (should correspond to raw text and `#
text`)

* `tag` is all subtoken tags concatenated with `_`, e.g. `ADP_DET`

* `pos` is the POS of the syntactic root of the span (as determined by
the Retokenizer)

* `morph` is all morphological features merged

* `lemma` is all subtoken lemmas concatenated with ` `, e.g. `de o`

* with `-m` all morphological features are combined with the tag using
the separator `__`, e.g.
`ADP_DET__Definite=Def|Gender=Masc|Number=Sing|PronType=Art`

* `dep` is the dependency relation for the syntactic root of the span
(as determined by the Retokenizer)

Concatenated tags will be mapped to the UD POS of the syntactic root
(e.g., `ADP`) and the morphological features will be the combined
features.

In many cases, the original UD subtokens can be reconstructed from the
available features given a language-specific lookup table, e.g.,
Portuguese `do / ADP_DET /
Definite=Def|Gender=Masc|Number=Sing|PronType=Art` is `de / ADP`, `o /
DET / Definite=Def|Gender=Masc|Number=Sing|PronType=Art` or lookup rules
for forms containing open class words like Spanish `hablarlo / VERB_PRON
/
Case=Acc|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs|VerbForm=Inf`.

* Clean up imports
2020-01-29 17:44:25 +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
06b251dd1e Add support for pos/morphs/lemmas in training data (#4941)
Add support for pos/morphs/lemmas throughout `GoldParse`, `Example`, and
`docs_to_json()`.
2020-01-28 11:36:29 +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
0a0de85409 Fix gold training (#4938)
* label in span not writable anymore

* Revert "label in span not writable anymore"

This reverts commit ab442338c8.

* ensure doc is not None
2020-01-23 22:00:24 +01:00
adrianeboyd
199d89943e Add as_example to Sentencizer pipe() (#4933) 2020-01-22 15:40:31 +01:00
adrianeboyd
d2f3a44b42 Improve train CLI sentrec scoring (#4892)
* reorder to metrics to prioritize F over P/R
* add sentrec to model metrics
2020-01-08 16:52:14 +01:00
adrianeboyd
e55fa1899a Report length of dev dataset correctly (#4891) 2020-01-08 16:51:51 +01:00
adrianeboyd
e1b493ae85 Add sentrec shortcut to Language (#4890) 2020-01-08 16:51:24 +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
Ines Montani
83e0a6f3e3
Modernize plac commands for Python 3 (#4836) 2020-01-01 13:15:46 +01:00
Ines Montani
401946d480 Un-xfail passing tests 2019-12-25 18:02:20 +01:00
Ines Montani
a892821c51 More formatting changes 2019-12-25 17:59:52 +01:00
Ines Montani
c22f075509 Update pydantic version pin [ci skip] 2019-12-25 17:29:53 +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
21b6d6e0a8 Fix typo 2019-12-21 21:17:31 +01:00
Ines Montani
de33b6d566 Merge branch 'master' into develop 2019-12-21 21:15:46 +01:00
Ines Montani
7c69d30de5 Tidy up and expect warning 2019-12-21 21:14:52 +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
d17e7dca9e Fix problems caused by merge conflict 2019-12-21 19:57:41 +01:00
Ines Montani
947dba7141 Merge branch 'master' into develop 2019-12-21 19:04:43 +01:00
Ines Montani
cb4145adc7 Tidy up and auto-format 2019-12-21 19:04:17 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
Olamilekan Wahab
a741de7cf6 Adding support for Yoruba Language (#4614)
* Adding Support for Yoruba

* test text

* Updated test string.

* Fixing encoding declaration.

* Adding encoding to stop_words.py

* Added contributor agreement and removed iranlowo.

* Added removed test files and removed iranlowo to keep project bare.

* Returned CONTRIBUTING.md to default state.

* Added delted conftest entries

* Tidy up and auto-format

* Revert CONTRIBUTING.md

Co-authored-by: Ines Montani <ines@ines.io>
2019-12-21 14:11:50 +01:00
Ines Montani
1b838d1313 Divide models into core and starters [ci skip] 2019-12-21 14:10:22 +01:00
Ines Montani
0750d59e5a Allow setting ner_missing_tag on docs_to_json 2019-12-21 13:47:21 +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
12158c1e3a Restore tqdm imports (#4804)
* set 4.38.0 to minimal version with color bug fix

* set imports back to proper place

* add upper range for tqdm
2019-12-16 13:12:19 +01:00
Ines Montani
c466e02466 Update universe [ci skip] 2019-12-13 15:57:39 +01:00
Sofie Van Landeghem
557dcf5659 NEL requires sentences to be set (#4801) 2019-12-13 15:55:18 +01:00
tamuhey
1707e77c5e add char_span to Span (#4793) 2019-12-13 15:54:58 +01:00
adrianeboyd
a4cacd3402 Add tag_map argument to CLI debug-data and train (#4750)
Add an argument for a path to a JSON-formatted tag map, which is used to
update and extend the default language tag map.
2019-12-13 10:46:18 +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
Thiago Lages de Alencar
a067ded495 Update doc.md (#4796) 2019-12-11 18:21:40 +01:00
adrianeboyd
eb9b1858c4 Add NER map option to convert CLI (#4763)
Instead of a hard-coded NER tag simplification function that was only
intended for NorNE, map NER tags in CoNLL-U converter using a dict
provided as JSON as a command-line option.

Map NER entity types or new tag or to "" for 'O', e.g.:

```
{"PER": "PERSON", "BAD": ""}

=>

B-PER -> B-PERSON
B-BAD -> O
```
2019-12-11 18:20:49 +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
adrianeboyd
38e1bc19f4 Add destructors for states in TransitionSystem (#4686) 2019-12-10 13:23:27 +01:00
Matthew Honnibal
45efdb1ef7 Merge branch 'master' of https://github.com/explosion/spaCy 2019-12-10 00:54:18 +01:00
Matthew Honnibal
0a3175d46f Require thinc v7.4.0.dev0 2019-12-10 00:47:51 +01:00
adrianeboyd
c208eb6e4d Fix int value handling in Matcher (#4749)
Add `int` values (for `LENGTH`) in _get_attr_values() instead of
treating `int` like `dict`.
2019-12-06 19:22:57 +01:00
Tclack88
ab8dc2732c Update token.md (#4767)
* Update token.md

documentation is confusing: A '?' is a right punct, but '¿' is a left punct

* Update token.md

add quotations around parentheses in `is_left_punct` and `is_right_punct` for clarrification, ensuring the question mark that follows is not percieved as an example of left and right punctuation

* Move quotes into code block [ci skip]
2019-12-06 19:22:02 +01:00
Sofie Van Landeghem
780d43aac7 fix bug in EL predict (#4779) 2019-12-06 19:18:14 +01:00
Ines Montani
bf611ebca7 Document jsonl option on converter [ci skip] 2019-12-06 19:17:45 +01:00
Nicolai Bjerre Pedersen
de5453cdcb Fix link to user hooks in docs (#4778)
* Fix link to user hooks in docs

* Update mr_bjerre.md

Mistake in contributor agreement

* Apparently hard to get it right (wrong name of sca)
2019-12-06 19:17:12 +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