Commit Graph

119 Commits

Author SHA1 Message Date
Adam Bittlingmayer
7b33b2854f
Add Armenian sentence-final verchaket, Greek question mark and Arabic question mark to default punct (#5910)
* Add Armenian sentence-final verchaket

* Add Greek and Arabic question marks, and contributor agreement

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

* Fix typo

* Add spaCy Contributor Agreement
2020-08-12 15:35:25 +02:00
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
Matthew Honnibal
3e78e82a83
Experimental character-based pretraining (#5700)
* Use cosine loss in Cloze multitask

* Fix char_embed for gpu

* Call resume_training for base model in train CLI

* Fix bilstm_depth default in pretrain command

* Implement character-based pretraining objective

* Use chars loss in ClozeMultitask

* Add method to decode predicted characters

* Fix number characters

* Rescale gradients for mlm

* Fix char embed+vectors in ml

* Fix pipes

* Fix pretrain args

* Move get_characters_loss

* Fix import

* Fix import

* Mention characters loss option in pretrain

* Remove broken 'self attention' option in pretrain

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

This reverts commit 56b820f6af.

* Document 'characters' objective of pretrain
2020-07-05 15:48:39 +02:00
Adriane Boyd
b7107ac89f
Disregard special tag _SP in check for new tag map (#5641)
* Skip special tag  _SP in check for new tag map

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

* Simplify _SP check
2020-06-26 09:23:21 +02:00
Adriane Boyd
c482f20778
Fix and add warnings related to spacy-lookups-data (#5588)
* Fix warning message for lemmatization tables

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

* added spaCy contributor agreement

* added multi sentence also for training

* made the try-except block smaller
2020-06-12 02:03:23 +02:00
Adriane Boyd
a005ccd6d7 Preserve _SP when filtering tag map in Tagger
To allow "SP" as a tag (for Chinese OntoNotes), preserve "_SP" if
present as the reference `SPACE` POS in the tag map in
`Tagger.begin_training()`.
2020-05-31 19:57:54 +02:00
Matthew Honnibal
93c4d13588
Merge pull request #5264 from lfiedler/issue-5230
Fix ResourceWarnings during unittest
2020-05-22 00:31:07 +02:00
Adriane Boyd
bc39f97e11 Simplify warnings 2020-04-28 13:37:37 +02:00
Leander Fiedler
a3401b1194 issue5230 changed reference to function to anonymous function 2020-04-15 21:52:52 +02:00
Leander Fiedler
cef0c909b9 issue5230 changed reference to function to anonymous function 2020-04-15 19:28:33 +02:00
adrianeboyd
ae4af52ce7
Add ideographic stops to sentencizer (#5263)
Add ideographic half- and fullwidth full stops to default sentencizer
punctuation.
2020-04-08 12:58:39 +02:00
Leander Fiedler
71cc903d65 issue5230: replaced open statements on path objects so that serialization still works an files are closed 2020-04-06 20:30:41 +02:00
Sofie Van Landeghem
c6b12ab02a
Bugfix/get doc (#5049)
* new (broken) unit test

* fixing get_doc method
2020-03-02 11:49:28 +01:00
Sofie Van Landeghem
72c964bcf4
define pretrained_dims which is used by build_text_classifier (#5004) 2020-02-16 17:21:17 +01:00
adrianeboyd
a938566b62 Fix Sentencizer.pipe() for empty doc (#4940) 2020-01-28 11:36:49 +01:00
Sofie Van Landeghem
7b96a5e10f Reduce mem usage in training Entity Linker (#4811)
* move nlp processing for el pipe to batch training instead of preprocessing

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

* use pipe whenever possible

* few more small doc changes

* access dev data through generator

* tqdm description

* small fixes

* update documentation
2020-01-06 14:59:50 +01:00
Sofie Van Landeghem
557dcf5659 NEL requires sentences to be set (#4801) 2019-12-13 15:55:18 +01:00
Sofie Van Landeghem
5355b0038f Update EL example (#4789)
* update EL example script after sentence-central refactor

* version bump

* set incl_prior to False for quick demo purposes

* clean up
2019-12-11 18:19:42 +01:00
Sofie Van Landeghem
780d43aac7 fix bug in EL predict (#4779) 2019-12-06 19:18:14 +01:00
adrianeboyd
48ea2e8d0f Restructure Sentencizer to follow Pipe API (#4721)
* Restructure Sentencizer to follow Pipe API

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

* Add Sentencizer pipe() test
2019-11-27 16:33:34 +01:00
adrianeboyd
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
Matthew Honnibal
f8d740bfb1
Fix --gold-preproc train cli command (#4392)
* Fix get labels for textcat

* Fix char_embed for gpu

* Revert "Fix char_embed for gpu"

This reverts commit 055b9a9e85.

* Fix passing of cats in gold.pyx

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

This reverts commit 8e7414dace.

* Fix popping gold parses

* Fix handling of cats in gold tuples

* Fix name

* Fix ner_multitask_objective script

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

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

* few more pop-extend fixes

* reinsert deleted print statement

* fix print statement

* add last tested version

* append instead of extend

* add in few comments

* quick fix for 4402 + unit test

* fixing number of docs (not counting cats)

* more fixes

* fix len

* print tmp file instead of using data from examples dir

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

* Update analysis helpers and component decorator

* Fix porting of docstrings for Python 2

* Fix docstring stuff on Python 2

* Support meta factories when loading model

* Put auto pipeline analysis behind flag for now

* Analyse pipes on remove_pipe and replace_pipe

* Move analysis to root for now

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

* Simplify decorator

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

* Update existing components and factories

* Add condition in factory for classes vs. functions

* Add missing from_nlp classmethods

* Add "retokenizes" to printed overview

* Update assigns/requires declarations of builtins

* Only return data if no_print is enabled

* Use multiline table for overview

* Don't support Span

* Rewrite errors/warnings and move them to spacy.errors
2019-10-27 13:35:49 +01:00
Zhuoru Lin
10d88b09bb Bugfix/fix wikidata train entity linker (#4509)
* Fix labels_discard Nonetype iteration error

* Contributor agreement for Zhuoru Lin

* Enhance EntityLinker.predict() to handle labels_discard is None case.
2019-10-24 12:52:59 +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
Matthew Honnibal
29f9fec267
Improve spacy pretrain (#4393)
* Support bilstm_depth arg in spacy pretrain

* Add option to ignore zero vectors in get_cossim_loss

* Use cosine loss in Cloze multitask
2019-10-07 23:34:58 +02:00
Sofie Van Landeghem
9d3ce7cba2 Ensure training doesn't crash with empty batches (#4360)
* unit test for previously resolved unflatten issue

* prevent batch of empty docs to cause problems
2019-10-02 12:50:47 +02:00
Ines Montani
b6670bf0c2 Use consistent spelling 2019-10-02 10:37:39 +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
Matthew Honnibal
46c02d25b1 Merge changes to test_ner 2019-09-18 21:41:24 +02:00
tamuhey
875f3e5d8c remove redundant __call__ method in pipes.TextCategorizer (#4305)
* remove redundant __call__ method in pipes.TextCategorizer

Because the parent __call__ method behaves in the same way.

* fix: Pipe.__call__ arg

* fix: invalid arg in Pipe.__call__

* modified:   spacy/tests/regression/test_issue4278.py (#4278)

* deleted:    Pipfile
2019-09-18 21:31:27 +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
Ines Montani
16c2522791 Merge branch 'master' into develop 2019-09-14 16:42:01 +02:00
adrianeboyd
6942a6a69b Extend default punct for sentencizer (#4290)
Most of these characters are for languages / writing systems that aren't
supported by spacy, but I don't think it causes problems to include
them. In the UD evals, Hindi and Urdu improve a lot as expected (from
0-10% to 70-80%) and Persian improves a little (90% to 96%). Tamil
improves in combination with #4288.

The punctuation list is converted to a set internally because of its
increased length.

Sentence final punctuation generated with:

```
unichars -gas '[\p{Sentence_Break=STerm}\p{Sentence_Break=ATerm}]' '\p{Terminal_Punctuation}'
```

See: https://stackoverflow.com/a/9508766/461847

Fixes #4269.
2019-09-14 15:25:48 +02:00
Ines Montani
27106d6528 Merge branch 'master' into develop 2019-09-13 17:07:17 +02:00
Sofie Van Landeghem
2ae5db580e dim bugfix when incl_prior is False (#4285) 2019-09-13 16:30:05 +02:00
Ines Montani
3c3658ef9f Merge branch 'master' into develop 2019-09-12 18:03:01 +02:00
Ines Montani
228bbf506d Improve label properties on pipes 2019-09-12 18:02:44 +02:00
Ines Montani
655b434553 Merge branch 'master' into develop 2019-09-12 11:39:18 +02:00
tamuhey
71909cdf22 Fix iss4278 (#4279)
* fix: len(tuple) == 2

* (#4278) add fail test

* add contributor's aggreement
2019-09-12 10:44:49 +02:00
Ines Montani
8ebc3711dc Fix bug in Parser.labels and add test (#4275) 2019-09-11 18:29:35 +02:00
Matthew Honnibal
c308cf3e3e
Merge branch 'master' into feature/lemmatizer 2019-08-25 13:52:27 +02:00
Matthew Honnibal
bb911e5f4e Fix #3830: 'subtok' label being added even if learn_tokens=False (#4188)
* Prevent subtok label if not learning tokens

The parser introduces the subtok label to mark tokens that should be
merged during post-processing. Previously this happened even if we did
not have the --learn-tokens flag set. This patch passes the config
through to the parser, to prevent the problem.

* Make merge_subtokens a parser post-process if learn_subtokens

* Fix train script

* Add test for 3830: subtok problem

* Fix handlign of non-subtok in parser training
2019-08-23 17:54:00 +02:00
Matthew Honnibal
bcd08f20af Merge changes from master 2019-08-21 14:18:52 +02:00
Ines Montani
f65e36925d Fix absolute imports and avoid importing from cli 2019-08-20 15:08:59 +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
Matthew Honnibal
4632c597e7 Fix Pipe base class 2019-08-01 17:29:01 +02:00