Commit Graph

1753 Commits

Author SHA1 Message Date
Matthew Honnibal
2d715451a2
Revert "Convert custom user_data to token extension format for Japanese tokenizer (#5652)" (#5665)
This reverts commit 1dd38191ec.
2020-06-29 14:34:15 +02:00
Adriane Boyd
1dd38191ec
Convert custom user_data to token extension format for Japanese tokenizer (#5652)
* Convert custom user_data to token extension format

Convert the user_data values so that they can be loaded as custom token
extensions for `inflection`, `reading_form`, `sub_tokens`, and `lemma`.

* Reset Underscore state in ja tokenizer tests
2020-06-29 14:20:26 +02:00
Adriane Boyd
167df42cb6
Move lemmatizer is_base_form to language settings (#5663)
Move `Lemmatizer.is_base_form` to the language settings so that each
language can provide a language-specific method as
`LanguageDefaults.is_base_form`.

The existing English-specific `Lemmatizer.is_base_form` is moved to
`EnglishDefaults`.
2020-06-29 14:16:57 +02:00
Sofie Van Landeghem
fc3cb1fa9e
NER align tests (#5656)
* one_to_man works better. misalignment doesn't yet.

* fix tests

* restore example

* xfail alignment tests
2020-06-29 13:59:17 +02:00
Ines Montani
7a0fe50610 Merge branch 'develop' into feature/project-cli 2020-06-27 13:03:03 +02:00
Matthw Honnibal
1d672e0c12 Revert "attempt to fix _guess_spaces"
This reverts commit 5b6ed05752.
2020-06-26 23:42:41 +02:00
Matthew Honnibal
8c29268749
Improve spacy.gold (no GoldParse, no json format!) (#5555)
* Update errors

* Remove beam for now (maybe)

Remove beam_utils

Update setup.py

Remove beam

* Remove GoldParse

WIP on removing goldparse

Get ArcEager compiling after GoldParse excise

Update setup.py

Get spacy.syntax compiling after removing GoldParse

Rename NewExample -> Example and clean up

Clean html files

Start updating tests

Update Morphologizer

* fix error numbers

* fix merge conflict

* informative error when calling to_array with wrong field

* fix error catching

* fixing language and scoring tests

* start testing get_aligned

* additional tests for new get_aligned function

* Draft create_gold_state for arc_eager oracle

* Fix import

* Fix import

* Remove TokenAnnotation code from nonproj

* fixing NER one-to-many alignment

* Fix many-to-one IOB codes

* fix test for misaligned

* attempt to fix cases with weird spaces

* fix spaces

* test_gold_biluo_different_tokenization works

* allow None as BILUO annotation

* fixed some tests + WIP roundtrip unit test

* add spaces to json output format

* minibatch utiltiy can deal with strings, docs or examples

* fix augment (needs further testing)

* various fixes in scripts - needs to be further tested

* fix test_cli

* cleanup

* correct silly typo

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

* fix tagger

* fix entity linker

* ensure test keeps working with non-linked entities

* pipe() takes docs, not examples

* small bug fix

* textcat bugfix

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

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

* fix BiluoPushDown parsing entities

* small fixes

* bugfix tok2vec

* fix renames and simple_ner labels

* various small fixes

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

* fix the fix

* implement split_sent with aligned SENT_START attribute

* test for split sentences with various alignment issues, works

* Return ArcEagerGoldParse from ArcEager

* Update parser and NER gold stuff

* Draft new GoldCorpus class

* add links to to_dict

* clean up

* fix test checking for variants

* Fix oracles

* Start updating converters

* Move converters under spacy.gold

* Move things around

* Fix naming

* Fix name

* Update converter to produce DocBin

* Update converters

* Allow DocBin to take list of Doc objects.

* Make spacy convert output docbin

* Fix import

* Fix docbin

* Fix compile in ArcEager

* Fix import

* Serialize all attrs by default

* Update converter

* Remove jsonl converter

* Add json2docs converter

* Draft Corpus class for DocBin

* Work on train script

* Update Corpus

* Update DocBin

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Update train.py

* Fix Corpus

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

* Skip tests that cause crashes

* Skip test causing segfault

* Remove GoldCorpus

* Update imports

* Update after removing GoldCorpus

* Fix module name of corpus

* Fix mimport

* Work on parser oracle

* Update arc_eager oracle

* Restore ArcEager.get_cost function

* Update transition system

* Update test_arc_eager_oracle

* Remove beam test

* Update test

* Unskip

* Unskip tests

* add links to to_dict

* clean up

* fix test checking for variants

* Allow DocBin to take list of Doc objects.

* Fix compile in ArcEager

* Serialize all attrs by default

Move converters under spacy.gold

Move things around

Fix naming

Fix name

Update converter to produce DocBin

Update converters

Make spacy convert output docbin

Fix import

Fix docbin

Fix import

Update converter

Remove jsonl converter

Add json2docs converter

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Start updating converters

* Work on train script

* Draft Corpus class for DocBin

Update Corpus

Fix Corpus

* Update DocBin

Add missing strings when serializing

* Update train.py

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

Skip tests that cause crashes

Skip test causing segfault

* Remove GoldCorpus

Update imports

Update after removing GoldCorpus

Fix module name of corpus

Fix mimport

* Work on parser oracle

Update arc_eager oracle

Restore ArcEager.get_cost function

Update transition system

* Update tests

Remove beam test

Update test

Unskip

Unskip tests

* Add get_aligned_parse method in Example

Fix Example.get_aligned_parse

* Add kwargs to Corpus.dev_dataset to match train_dataset

* Update nonproj

* Use get_aligned_parse in ArcEager

* Add another arc-eager oracle test

* Remove Example.doc property

Remove Example.doc

Remove Example.doc

Remove Example.doc

Remove Example.doc

* Update ArcEager oracle

Fix Break oracle

* Debugging

* Fix Corpus

* Fix eg.doc

* Format

* small fixes

* limit arg for Corpus

* fix test_roundtrip_docs_to_docbin

* fix test_make_orth_variants

* fix add_label test

* Update tests

* avoid writing temp dir in json2docs, fixing 4402 test

* Update test

* Add missing costs to NER oracle

* Update test

* Work on Example.get_aligned_ner method

* Clean up debugging

* Xfail tests

* Remove prints

* Remove print

* Xfail some tests

* Replace unseen labels for parser

* Update test

* Update test

* Xfail test

* Fix Corpus

* fix imports

* fix docs_to_json

* various small fixes

* cleanup

* Support gold_preproc in Corpus

* Support gold_preproc

* Pass gold_preproc setting into corpus

* Remove debugging

* Fix gold_preproc

* Fix json2docs converter

* Fix convert command

* Fix flake8

* Fix import

* fix output_dir (converted to Path by typer)

* fix var

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

* Improve efficiency of ArEager oracle

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

* fix asserts

* bugfix excl Span.end in iob2docs

* Support max_length in Corpus

* Fix arc_eager oracle

* Filter out uannotated sentences in NER

* Remove debugging in parser

* Simplify NER alignment

* Fix conversion of NER data

* Fix NER init_gold_batch

* Tweak efficiency of precomputable affine

* Update onto-json default

* Update gold test for NER

* Fix parser test

* Update test

* Add NER data test

* Fix convert for single file

* Fix test

* Hack scorer to avoid evaluating non-nered data

* Fix handling of NER data in Example

* Output unlabelled spans from O biluo tags in iob_utils

* Fix unset variable

* Return kept examples from init_gold_batch

* Return examples from init_gold_batch

* Dont return Example from init_gold_batch

* Set spaces on gold doc after conversion

* Add test

* Fix spaces reading

* Improve NER alignment

* Improve handling of missing values in NER

* Restore the 'cutting' in parser training

* Add assertion

* Print epochs

* Restore random cuts in parser/ner training

* Implement Doc.copy

* Implement Example.copy

* Copy examples at the start of Language.update

* Don't unset example docs

* Tweak parser model slightly

* attempt to fix _guess_spaces

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

* fixing get_aligned_ner for one-to-many

* fix indexing into x_text

* small fix biluo_tags_from_offsets

* Add onto-ner config

* Simplify NER alignment

* Fix NER scoring for partially annotated documents

* fix indexing into x_text

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

* Fix limit

* Improve NER alignment

* Fix count_train

* Remove print statement

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

* fix clumsy fingers

* Fix tests

* Fix doc.ents

* Remove empty docs in Corpus and improve limit

* Update config

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

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

* Simplify _SP check
2020-06-26 09:23:21 +02:00
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
Ines Montani
2ad7a02400 Merge branch 'develop' into feature/project-cli 2020-06-22 15:33:11 +02:00
Ines Montani
a6b76440b7 Update project CLI 2020-06-22 14:53:31 +02:00
Hiroshi Matsuda
150a39ccca
Japanese model: add user_dict entries and small refactor (#5573)
* user_dict fields: adding inflections, reading_forms, sub_tokens
deleting: unidic_tags
improve code readability around the token alignment procedure

* add test cases, replace fugashi with sudachipy in conftest

* move bunsetu.py to spaCy Universe as a pipeline component BunsetuRecognizer

* tag is space -> both surface and tag are spaces

* consider len(text)==0
2020-06-22 14:32:25 +02:00
Rameshh
c34420794a
Add Nepali Language (#5622)
* added support for nepali lang

* added examples and test files

* added spacy contributor agreement
2020-06-22 10:25:46 +02:00
Ines Montani
ef5f548fb0 Tidy up and auto-format 2020-06-21 22:38:04 +02:00
Ines Montani
40bb918a4c Remove unicode declarations and tidy up 2020-06-21 22:34:10 +02:00
svlandeg
689600e17d add additional test back in (it works now) 2020-06-20 23:23:57 +02:00
svlandeg
12dc8ab208 remove redundant code from master in EntityLinker 2020-06-20 23:07:42 +02:00
svlandeg
6179774278 fix test_build_dependencies by ignoring new libs 2020-06-20 22:49:37 +02:00
Ines Montani
5424b70e51 Remove v2 test 2020-06-20 16:18:53 +02:00
Ines Montani
63c22969f4 Update test_issue5230.py 2020-06-20 16:17:48 +02:00
Ines Montani
296b5d633b Remove references to Python 2 / is_python2 2020-06-20 16:11:13 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Ines Montani
f91e9e8c84 Remove F841 [ci skip] 2020-06-20 14:47:17 +02:00
Ines Montani
8283df80e9 Tidy up and auto-format 2020-06-20 14:15:04 +02:00
Adriane Boyd
c482f20778
Fix and add warnings related to spacy-lookups-data (#5588)
* Fix warning message for lemmatization tables

* Add a warning when the `lexeme_norm` table is empty. (Given the
relatively lang-specific loading for `Lookups`, it seemed like too much
overhead to dynamically extract the list of languages, so for now it's
hard-coded.)
2020-06-15 14:56:04 +02:00
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
adrianeboyd
fe167fcf7d
Update pytest conf for sudachipy with Japanese (#5574) 2020-06-11 10:23:50 +02:00
Jones Martins
28db7dd5d9
Add missing pronoums/determiners (#5569)
* Add missing pronoums/determiners

* Add test for missing pronoums

* Add contributor file
2020-06-10 18:47:04 +02:00
adrianeboyd
b7e6e1b9a7
Disable sentence segmentation in ja tokenizer (#5566) 2020-06-09 12:00:59 +02:00
adrianeboyd
f162815f45
Handle empty and whitespace-only docs for Japanese (#5564)
Handle empty and whitespace-only docs in the custom alignment method
used by the Japanese tokenizer.
2020-06-08 21:09:23 +02:00
adrianeboyd
3bf111585d
Update Japanese tokenizer config and add serialization (#5562)
* Use `config` dict for tokenizer settings
* Add serialization of split mode setting
* Add tests for tokenizer split modes and serialization of split mode
setting

Based on #5561
2020-06-08 16:29:05 +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
Paul O'Leary McCann
410fb7ee43
Add Japanese Model (#5544)
* Add more rules to deal with Japanese UD mappings

Japanese UD rules sometimes give different UD tags to tokens with the
same underlying POS tag. The UD spec indicates these cases should be
disambiguated using the output of a tool called "comainu", but rules are
enough to get the right result.

These rules are taken from Ginza at time of writing, see #3756.

* Add new tags from GSD

This is a few rare tags that aren't in Unidic but are in the GSD data.

* Add basic Japanese sentencization

This code is taken from Ginza again.

* Add sentenceizer quote handling

Could probably add more paired characters but this will do for now. Also
includes some tests.

* Replace fugashi with SudachiPy

* Modify tag format to match GSD annotations

Some of the tests still need to be updated, but I want to get this up
for testing training.

* Deal with case with closing punct without opening

* refactor resolve_pos()

* change tag field separator from "," to "-"

* add TAG_ORTH_MAP

* add TAG_BIGRAM_MAP

* revise rules for 連体詞

* revise rules for 連体詞

* improve POS about 2%

* add syntax_iterator.py (not mature yet)

* improve syntax_iterators.py

* improve syntax_iterators.py

* add phrases including nouns and drop NPs consist of STOP_WORDS

* First take at noun chunks

This works in many situations but still has issues in others.

If the start of a subtree has no noun, then nested phrases can be
generated.

    また行きたい、そんな気持ちにさせてくれるお店です。
    [そんな気持ち, また行きたい、そんな気持ちにさせてくれるお店]

For some reason て gets included sometimes. Not sure why.

    ゲンに連れ添って円盤生物を調査するパートナーとなる。
    [て円盤生物, ...]

Some phrases that look like they should be split are grouped together;
not entirely sure that's wrong. This whole thing becomes one chunk:

    道の駅遠山郷北側からかぐら大橋南詰現道交点までの1.060kmのみ開通済み

* Use new generic get_words_and_spaces

The new get_words_and_spaces function is simpler than what was used in
Japanese, so it's good to be able to switch to it. However, there was an
issue. The new function works just on text, so POS info could get out of
sync. Fixing this required a small change to the way dtokens (tokens
with POS and lemma info) were generated.

Specifically, multiple extraneous spaces now become a single token, so
when generating dtokens multiple space tokens should be created in a
row.

* Fix noun_chunks, should be working now

* Fix some tests, add naughty strings tests

Some of the existing tests changed because the tokenization mode of
Sudachi changed to the more fine-grained A mode.

Sudachi also has issues with some strings, so this adds a test against
the naughty strings.

* Remove empty Sudachi tokens

Not doing this creates zero-length tokens and causes errors in the
internal spaCy processing.

* Add yield_bunsetu back in as a separate piece of code

Co-authored-by: Hiroshi Matsuda <40782025+hiroshi-matsuda-rit@users.noreply.github.com>
Co-authored-by: hiroshi <hiroshi_matsuda@megagon.ai>
2020-06-04 19:15:43 +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
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
Adriane Boyd
8c758ed1eb Fix meta path 2020-06-03 12:11:57 +02:00
Adriane Boyd
a57bdeecac Test util.get_model_meta instead of util.load_model 2020-06-03 12:10:12 +02:00
svlandeg
eac12cbb77 make dropout in embed layers configurable 2020-06-03 11:50:16 +02:00
svlandeg
6504b7f161 Merge remote-tracking branch 'upstream/develop' into feature/pretrain-config 2020-06-03 08:30:16 +02:00
svlandeg
c5ac382f0a fix name clash 2020-06-02 22:24:57 +02:00
svlandeg
2bf5111ecf additional test with discard_oversize=False 2020-06-02 22:09:37 +02:00
svlandeg
aa6271b16c extending algorithm to deal better with edge cases 2020-06-02 22:05:08 +02:00
svlandeg
6208d322d3 slightly more challenging unit test 2020-06-02 19:47:30 +02:00
svlandeg
6651fafd5c using overflow buffer for examples within the tolerance margin 2020-06-02 19:43:39 +02:00
svlandeg
85b0597ed5 add test for minibatch util 2020-06-02 18:26:21 +02:00
Adriane Boyd
bbc1836581 Add rudimentary version checks on model load 2020-06-02 17:33:48 +02:00
svlandeg
e0f9f448f1 remove Tensorizer 2020-06-01 23:38:48 +02:00
Ines Montani
b7aff6020c Make functions more general purpose and update docstrings and tests 2020-05-30 15:18:53 +02:00
Ines Montani
e47e5a4b10 Use more sophisticated version parsing logic 2020-05-30 15:01:58 +02:00
Adriane Boyd
e06ca7ea24 Switch to new add API in PhraseMatcher unpickle 2020-05-25 11:22:47 +02:00
Ines Montani
387c7aba15 Update test 2020-05-24 14:55:16 +02:00
Ines Montani
4465cad6c5 Rename spacy.analysis to spacy.pipe_analysis 2020-05-22 17:42:06 +02:00
Ines Montani
25d6ed3fb8
Merge pull request #5489 from explosion/feature/connected-components 2020-05-22 17:40:11 +02:00
Ines Montani
841c05b47b
Merge pull request #5490 from explosion/fix/remove-jsonschema 2020-05-22 17:39:54 +02:00
Ines Montani
569a65b60e Auto-format 2020-05-22 16:55:42 +02:00
Ines Montani
d844528c5f Add test for is_compatible_model 2020-05-22 16:55:15 +02:00
Ines Montani
12b7be1d98 Remove jsonschema from dependencies 2020-05-22 16:49:26 +02:00
Matthew Honnibal
f7f6df7275 Move to spacy.analysis 2020-05-22 16:43:18 +02:00
Matthew Honnibal
78d79d94ce Guess set_annotations=True in nlp.update
During `nlp.update`, components can be passed a boolean set_annotations
to indicate whether they should assign annotations to the `Doc`. This
needs to be called if downstream components expect to use the
annotations during training, e.g. if we wanted to use tagger features in
the parser.

Components can specify their assignments and requirements, so we can
figure out which components have these inter-dependencies. After
figuring this out, we can guess whether to pass set_annotations=True.

We could also call set_annotations=True always, or even just have this
as the only behaviour. The downside of this is that it would require the
`Doc` objects to be created afresh to avoid problematic modifications.
One approach would be to make a fresh copy of the `Doc` objects within
`nlp.update()`, so that we can write to the objects without any
problems. If we do that, we can drop this logic and also drop the
`set_annotations` mechanism. I would be fine with that approach,
although it runs the risk of introducing some performance overhead, and
we'll have to take care to copy all extension attributes etc.
2020-05-22 15:55:45 +02:00
Ines Montani
6728747f71
Merge pull request #5486 from explosion/fix/compat-py2 2020-05-22 15:47:21 +02:00
Matthew Honnibal
f6078d866a
Merge pull request #5121 from adrianeboyd/bugfix/revert-token-match
Revert token_match priority changes from #4374 and extend token match options
2020-05-22 14:42:51 +02:00
Ines Montani
c685ee734a Fix compat for v2.x branch 2020-05-22 14:22:36 +02:00
Adriane Boyd
e4a1b5dab1 Rename to url_match
Rename to `url_match` and update docs.
2020-05-22 12:41:03 +02:00
Adriane Boyd
730fa493a4 Merge remote-tracking branch 'upstream/master' into bugfix/revert-token-match 2020-05-22 12:18:00 +02:00
Adriane Boyd
71fe61fdcd Disallow merging 0-length spans 2020-05-22 10:14:34 +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
Matthew Honnibal
e1cb7e838b
Merge pull request #5481 from explosion/feature/blank-shortcut-v2
Add blank:{lang} shortcut support to util.load_model
2020-05-22 00:08:23 +02:00
Ines Montani
cb02bff0eb Add blank:{lang} shortcut to util.load_mode 2020-05-21 20:24:07 +02:00
Ines Montani
581bda9f98 Update senter test and auto-format 2020-05-21 20:17:14 +02:00
Adriane Boyd
132b2a6898 Merge remote-tracking branch 'upstream/master-tmp' into HEAD 2020-05-21 19:50:30 +02:00
Adriane Boyd
17ee9ab53a Fix _SP/POS=SPACE in strings serialization tests 2020-05-21 19:49:08 +02:00
Ines Montani
245f91df78 Fix merge issues 2020-05-21 19:42:13 +02:00
svlandeg
84d5b7ad0a Merge remote-tracking branch 'upstream/master' into bugfix/noun-chunks
# Conflicts:
#	spacy/lang/el/syntax_iterators.py
#	spacy/lang/en/syntax_iterators.py
#	spacy/lang/fa/syntax_iterators.py
#	spacy/lang/fr/syntax_iterators.py
#	spacy/lang/id/syntax_iterators.py
#	spacy/lang/nb/syntax_iterators.py
#	spacy/lang/sv/syntax_iterators.py
2020-05-21 19:19:50 +02:00
Ines Montani
631e20d0c6 Fix test and schemas 2020-05-21 19:01:02 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
c6ec19c844 Add missing declaration 2020-05-21 17:30:05 +02:00
Ines Montani
bd6353715a Merge branch 'master' into fix/travis-tests 2020-05-21 14:23:04 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +02:00
Ines Montani
56de520afd Try to fix tests on Travis (2.7) 2020-05-21 14:04:57 +02:00
svlandeg
36a94c409a failing test to reproduce overlapping spans problem 2020-05-20 23:06:03 +02:00
Adriane Boyd
4b229bfc22 Improve handling of NER in CoNLL-U MISC 2020-05-20 18:48:51 +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
Sofie Van Landeghem
f00de445dd
default models defined in component decorator (#5452)
* move defaults to pipeline and use in component decorator

* black formatting

* relative import
2020-05-19 16:20:03 +02:00
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
adrianeboyd
0061992d95
Update Polish tokenizer for UD_Polish-PDB (#5432)
Update Polish tokenizer for UD_Polish-PDB, which is a relatively major
change from the existing tokenizer. Unused exceptions files and
conflicting test cases removed.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:55 +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
Sofie Van Landeghem
0d94737857
Feature toggle_pipes (#5378)
* make disable_pipes deprecated in favour of the new toggle_pipes

* rewrite disable_pipes statements

* update documentation

* remove bin/wiki_entity_linking folder

* one more fix

* remove deprecated link to documentation

* few more doc fixes

* add note about name change to the docs

* restore original disable_pipes

* small fixes

* fix typo

* fix error number to W096

* rename to select_pipes

* also make changes to the documentation

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

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

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

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
Ines Montani
a41e28ceba
Merge pull request #5436 from ilivans/fix_errors_with_codes 2020-05-18 10:45:56 +02:00
svlandeg
047f3d7d94 remove ops argument for Adam 2020-05-15 13:25:00 +02:00
adrianeboyd
780b869345
Fix syntax iterators for Persian (#5437) 2020-05-14 16:51:03 +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
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
Sofie Van Landeghem
b04738903e
prevent None in gold fields (#5425)
* set gold fields to empty list instead of keeping them as None

* add unit test
2020-05-13 22:08:50 +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
adrianeboyd
c963e269ba
Add method to update / reset pkuseg user dict (#5404) 2020-05-08 11:21:46 +02:00
Samuel Rodríguez Medina
5e55bfa821
Fixed tests for Swedish that were written in Danish. (#5395) 2020-05-05 14:06:27 +02:00
Adriane Boyd
565e0eef73 Add tokenizer option for token match with affixes
To fix the slow tokenizer URL (#4374) and allow `token_match` to take
priority over prefixes and suffixes by default, introduce a new
tokenizer option for a token match pattern that's applied after prefixes
and suffixes but before infixes.
2020-05-05 10:35:33 +02:00