Matthew Honnibal
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9f2587f5ec
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* Work on shift-reduce NER
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2014-11-10 16:28:56 +11:00 |
Matthew Honnibal
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f307eb2e36
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* Refactor context extraction, and start breaking out gold standards into their own functions
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2014-11-09 15:43:07 +11:00 |
Matthew Honnibal
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602f993af9
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* Moving tagger to accept multiple correct answers
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2014-11-09 15:18:33 +11:00 |
Matthew Honnibal
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f37d896a42
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* Upd NER feats. With adadelta learner, getting 76.9 on NER
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2014-11-07 04:43:54 +11:00 |
Matthew Honnibal
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68d1cdad62
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* When encoding POS/NER tags, accept '-' as a missing value
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2014-11-07 04:42:31 +11:00 |
Matthew Honnibal
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949a6245f9
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* Increase default number of iterations from 5 to 10
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2014-11-07 04:42:04 +11:00 |
Matthew Honnibal
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3cab1d9a29
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* Refine word_shape feature, by trimming the max sequence length
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2014-11-07 04:41:29 +11:00 |
Matthew Honnibal
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b4454cf036
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* Add extra context tokens
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2014-11-07 04:40:36 +11:00 |
Matthew Honnibal
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50309e6e49
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* Fix context vector, importing all features
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2014-11-05 22:11:39 +11:00 |
Matthew Honnibal
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07a23768de
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* Play with NER feats a bit. Up to 82.00 training on MUC7.
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2014-11-05 21:47:17 +11:00 |
Matthew Honnibal
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4ecbe8c893
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* Complete refactor of Tagger features, to use a generic list of context names.
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2014-11-05 20:45:29 +11:00 |
Matthew Honnibal
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0a8c84625d
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* Moving feature context stuff to a generalized place
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2014-11-05 19:55:10 +11:00 |
Matthew Honnibal
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3733444101
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* Generalize tagger code, in preparation for NER and supersense tagging.
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2014-11-05 03:42:14 +11:00 |
Matthew Honnibal
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abbe3e44b0
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* Move spacy.pos tagger to spacy.tagger, and generalize it so that it can take on other tagging tasks, given a different set of feature templates.
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2014-11-05 00:37:59 +11:00 |
Matthew Honnibal
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954c970415
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* Add __iter__ method to tokens
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2014-11-04 01:07:08 +11:00 |
Matthew Honnibal
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f07457a91f
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* Remove POS alignment stuff. Now use training data based on raw text, instead of clumsy detokenization stuff
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2014-11-04 01:06:43 +11:00 |
Matthew Honnibal
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ae52f9f38c
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* Remove vocab10k from tokens
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2014-11-03 00:23:20 +11:00 |
Matthew Honnibal
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32fb50dc35
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* Remove non_sparse method --- features wanting this can do it easily enough.
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2014-11-03 00:15:47 +11:00 |
Matthew Honnibal
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b5ae1471db
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* Fiddle with POS tag features
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2014-11-03 00:15:03 +11:00 |
Matthew Honnibal
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70ea862703
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* Remove vocab10k field, and add flags for gazetteers
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2014-11-03 00:13:51 +11:00 |
Matthew Honnibal
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711ed0f636
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* Whitespace
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2014-11-02 14:22:32 +11:00 |
Matthew Honnibal
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fcd9490d56
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* Add pos_tag method to Language
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2014-11-02 14:21:43 +11:00 |
Matthew Honnibal
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829bb2bdbe
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* Add mappings to Twitter POS tag corpus
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2014-11-02 13:21:19 +11:00 |
Matthew Honnibal
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437cd2217d
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* Fix strings i/o, removing use of ujson library in favour of plain text file. Allows better control of codecs.
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2014-11-02 13:20:37 +11:00 |
Matthew Honnibal
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3352e89e21
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* Use LIKE_URL and LIKE_NUMBER flag features. Seems to improve accuracy on onto web
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2014-11-02 13:19:54 +11:00 |
Matthew Honnibal
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8335706321
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* Add LIKE_URL and LIKE_NUMBER flag features
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2014-11-02 13:19:23 +11:00 |
Matthew Honnibal
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5484fbea69
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* Implement is_number
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2014-11-01 19:13:24 +11:00 |
Matthew Honnibal
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f685218e21
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* Add is_urlish function
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2014-11-01 17:39:34 +11:00 |
Matthew Honnibal
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09a3e54176
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* Delete print statements from stringstore
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2014-10-31 17:45:26 +11:00 |
Matthew Honnibal
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b186a66bae
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* Rename Token.lex_pos to Token.postype, and Token.lex_supersense to Token.sensetype
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2014-10-31 17:44:39 +11:00 |
Matthew Honnibal
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a8ca078b24
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* Restore lexemes field to lexicon
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2014-10-31 17:43:25 +11:00 |
Matthew Honnibal
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6c807aa45f
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* Restore id attribute to lexeme, and rename pos field to postype, to store clustered tag dictionaries
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2014-10-31 17:43:00 +11:00 |
Matthew Honnibal
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aaf6953fe0
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* Add count_tags functionto pos.pyx, which should probably live in another file. Feature set achieves 97.9 on wsj19-21, 95.85 on onto web.
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2014-10-31 17:42:15 +11:00 |
Matthew Honnibal
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f67cb9a5a3
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* Add count_tags functionto pos.pyx, which should probably live in another file. Feature set achieves 97.9 on wsj19-21, 95.85 on onto web.
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2014-10-31 17:42:04 +11:00 |
Matthew Honnibal
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ea8f1e7053
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* Tighten interfaces
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2014-10-30 18:14:42 +11:00 |
Matthew Honnibal
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ea85bf3a0a
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* Tighten the interface to Language
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2014-10-30 18:01:27 +11:00 |
Matthew Honnibal
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c6fcd03692
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* Small efficiency tweak to lexeme init
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2014-10-30 17:56:11 +11:00 |
Matthew Honnibal
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87c2418a89
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* Fiddle with data types on Lexeme, to compress them to a much smaller size.
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2014-10-30 15:42:15 +11:00 |
Matthew Honnibal
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ac88893232
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* Fix Token after lexeme changes
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2014-10-30 15:30:52 +11:00 |
Matthew Honnibal
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e6b87766fe
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* Remove lexemes vector from Lexicon, and the id and hash attributes from Lexeme
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2014-10-30 15:21:38 +11:00 |
Matthew Honnibal
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889b7b48b4
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* Fix POS tagger, so that it loads correctly. Lexemes are being read in.
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2014-10-30 13:38:55 +11:00 |
Matthew Honnibal
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67c8c8019f
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* Update lexeme serialization, using a binary file format
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2014-10-30 01:01:00 +11:00 |
Matthew Honnibal
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13909a2e24
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* Rewriting Lexeme serialization.
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2014-10-29 23:19:38 +11:00 |
Matthew Honnibal
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234d49bf4d
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* Seems to be working after refactor. Need to wire up more POS tag features, and wire up save/load of POS tags.
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2014-10-24 02:23:42 +11:00 |
Matthew Honnibal
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08ce602243
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* Large refactor, particularly to Python API
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2014-10-24 00:59:17 +11:00 |
Matthew Honnibal
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7baef5b7ff
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* Fix padding on tokens
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2014-10-23 04:01:17 +11:00 |
Matthew Honnibal
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96b835a3d4
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* Upd for refactored Tokens class. Now gets 95.74, 185ms training on swbd_wsj_ewtb, eval on onto_web, Google POS tags.
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2014-10-23 03:20:02 +11:00 |
Matthew Honnibal
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e5e951ae67
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* Remove the feature array stuff from Tokens class, and replace vector with array-based implementation, with padding.
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2014-10-23 01:57:59 +11:00 |
Matthew Honnibal
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ea1d4a81eb
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* Refactoring get_atoms, improving tokens API
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2014-10-22 13:10:56 +11:00 |
Matthew Honnibal
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ad49e2482e
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* Tagger now gets 97pc on wsj, parsing 19-21 in 500ms. Gets 92.7 on web text.
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2014-10-22 12:57:06 +11:00 |