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136 Commits

Author SHA1 Message Date
Jeffrey Gerard 5ba970b495 minor cleanup 2017-10-12 12:34:46 -07:00
Jeffrey Gerard 39d3cbfdba Bugfix example script train_ner_standalone.py, fails after training 2017-10-12 11:39:12 -07:00
ines f4ae6763b9 Fix consistency of imports from spacy.tokens in examples 2017-10-11 02:30:40 +02:00
Matthew Honnibal e0a9b02b67 Merge Span._ and Span.as_doc methods 2017-10-09 22:00:15 -05:00
ines 6679117000 Add pipeline component examples 2017-10-10 04:26:06 +02:00
Matthew Honnibal e79fc41ff8 Merge pull request #1391 from explosion/feature/multilabel-textcat 
💫 Fix multi-label support for text classification
 2017-10-09 04:22:31 +02:00
Matthew Honnibal 563f46f026 Fix multi-label support for text classification 
The TextCategorizer class is supposed to support multi-label
text classification, and allow training data to contain missing
values.

For this to work, the gradient of the loss should be 0 when labels
are missing. Instead, there was no way to actually denote "missing"
in the GoldParse class, and so the TextCategorizer class treated
the label set within gold.cats as complete.

To fix this, we change GoldParse.cats to be a dict instead of a list.
The GoldParse.cats dict should map to floats, with 1. denoting
'present' and 0. denoting 'absent'. Gradients are zeroed for categories
absent from the gold.cats dict. A nice bonus is that you can also set
values between 0 and 1 for partial membership. You can also set numeric
values, if you're using a text classification model that uses an
appropriate loss function.

Unfortunately this is a breaking change; although the functionality
was only recently introduced and hasn't been properly documented
yet. I've updated the example script accordingly.
 2017-10-05 18:43:02 -05:00
Matthew Honnibal 056b08c0df Delete obsolete nn_text_class example 2017-10-05 18:27:10 +02:00
Matthew Honnibal f1b86dff8c Update textcat example 2017-10-04 15:12:28 +02:00
Matthew Honnibal 79a94bc166 Update textcat exampe 2017-10-04 14:55:30 +02:00
Matthew Honnibal cbb1fbef80 Update train_ner_standalone example 2017-10-03 18:49:38 +02:00
Matthew Honnibal 38286b6f07 Add example loadig Fast Text vectors 2017-10-01 23:40:02 +02:00
Matthew Honnibal f92ab03dc8 Rename phrase matcher example 2017-09-20 22:51:58 +02:00
Matthew Honnibal 01858e9b59 Fix PhraseMatcher example 2017-09-20 22:51:41 +02:00
Matthew Honnibal 027a5d8b75 Update train_ner_standalone example 2017-09-15 10:36:46 +02:00
Matthew Honnibal 683d81bb49 Update example for adding entity type 2017-09-14 16:15:59 +02:00
Matthew Honnibal c16ef0a85c Clarify train textcat example 2017-07-29 21:59:27 +02:00
Matthew Honnibal 54a539a113 Finish text classifier example 2017-07-23 00:34:12 +02:00
Matthew Honnibal 2bc7d87c70 Add example for training text classifier 2017-07-22 20:15:32 +02:00
ines 992559bf9a Fix formatting and remove unused imports 2017-06-01 12:47:18 +02:00
Matthew Honnibal 5c30466c95 Update NER training example 2017-05-31 13:42:12 +02:00
akYoung c158cdb1da Corretions for model test example 
The sentences of test data in sentence entailment example should be generated with integers limited to vocab_size.
 2017-05-03 22:41:23 +08:00
Matthew Honnibal 2da16adcc2 Add dropout optin for parser and NER 
Dropout can now be specified in the `Parser.update()` method via
the `drop` keyword argument, e.g.

    nlp.entity.update(doc, gold, drop=0.4)

This will randomly drop 40% of features, and multiply the value of the
others by 1. / 0.4. This may be useful for generalising from small data
sets.

This commit also patches the examples/training/train_new_entity_type.py
example, to use dropout and fix the output (previously it did not output
the learned entity).
 2017-04-27 13:18:39 +02:00
Matthew Honnibal 0605b95f2e Merge branch 'master' of https://github.com/explosion/spaCy 2017-04-18 13:48:00 +02:00
Matthew Honnibal 2f84626417 Fix train_new_entity_type example 2017-04-18 13:47:36 +02:00
Ines Montani e7ae3b7cc2 Fix formatting and typo (closes #967) 2017-04-16 23:56:12 +02:00
Ines Montani 734b0a4e4a Update train_new_entity_type.py 2017-04-16 23:42:16 +02:00
ines 264af6cd17 Add documentation 2017-04-16 20:37:46 +02:00
ines c7adca58a9 Tidy up example and only save/test if output_directory is not None 2017-04-16 16:55:01 +02:00
Matthew Honnibal 40e3024241 Move standalone NER training script into examples directory 2017-04-15 16:13:42 +02:00
Matthew Honnibal b9c26aae11 Remove neptune refs from new train example 2017-04-15 16:13:17 +02:00
Matthew Honnibal c729d72fc6 Add new example for training new entity types 2017-04-15 16:11:06 +02:00
Matthew Honnibal a7626bd7fd Tmp commit to example 2017-04-15 15:43:14 +02:00
Matthew Honnibal 97b83c74dc WIP on training example 2017-04-14 23:54:27 +02:00
Kumaran Rajendhiran 3f55d6afae Update README 2017-04-05 16:59:52 +05:30
Kumaran Rajendhiran 47d7137c83 Set max_length to 100 for demo and evaluate 2017-04-05 16:48:35 +05:30
Kumaran Rajendhiran 10e8dcdfdb Remove not needed parameters from function 2017-04-05 16:20:47 +05:30
Matthew Honnibal 07726cf0a6 Add example of standalone NER training 2017-03-19 15:01:38 +01:00
Matthew Honnibal f028f8ad28 Remove unfinished examples 2017-02-18 11:04:41 +01:00
Matthew Honnibal c031c677cc Remove unused model_dir option 
As noted in #845, the `model_dir` argument was not being used. I've removed it for now, although it would be good to have this option restored and working.
 2017-02-18 10:38:22 +01:00
Matthew Honnibal 16ce7409e4 Merge branch 'master' of https://github.com/explosion/spaCy 2017-01-31 13:27:34 -06:00
Matthew Honnibal 80aa4e114b Fix x keras deep learning example 2017-01-31 13:27:13 -06:00
Matthew Honnibal ab70f6e18d Update NER training example 2017-01-27 12:27:10 +01:00
Ines Montani 853130bcf8 Update installation instructions (see #727) 2017-01-14 22:12:42 +01:00
Matthew Honnibal 5a319060b9 Merge branch 'master' of https://github.com/explosion/spaCy 2016-12-20 16:26:57 -06:00
Matthew Honnibal 7793e2ad82 Fix use of dropout in sentiment analysis LSTM example 2016-12-20 16:26:38 -06:00
Christos Savvopoulos c19b83f6ae use model_dir inside of load_model 2016-12-12 20:23:24 +00:00
Christos Savvopoulos 93cf4af701 actually commit load_ner.py 2016-12-12 20:13:33 +00:00
Christos Savvopoulos ad54a929f8 train_ner should save vocab; add load_ner example 2016-12-12 20:09:49 +00:00
Matthew Honnibal d0c999e0ad Add config.py for paddle example 2016-11-20 23:24:51 +01:00