Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity
5,039 Commits 70 Branches 177 Tags 298 MiB
Commit Graph

466 Commits

Author SHA1 Message Date
Matthew Honnibal 50ddc9fc45 Fix infinite loop bug 2017-05-08 07:54:26 -05:00
Matthew Honnibal 6782eedf9b Tmp GPU code 2017-05-07 11:04:24 -05:00
Matthew Honnibal e420e5a809 Tmp 2017-05-07 07:31:09 -05:00
Matthew Honnibal 700979fb3c CPU/GPU compat 2017-05-07 04:01:11 +02:00
Matthew Honnibal f99f5b75dc working residual net 2017-05-07 03:57:26 +02:00
Matthew Honnibal b439e04f8d Learning smoothly 2017-05-06 20:38:12 +02:00
Matthew Honnibal 08bee76790 Learns things 2017-05-06 18:24:38 +02:00
Matthew Honnibal bcf4cd0a5f Learns things 2017-05-06 17:37:36 +02:00
Matthew Honnibal 8e48b58cd6 Gradients look correct 2017-05-06 16:47:15 +02:00
Matthew Honnibal 7e04260d38 Data running through, likely errors in model 2017-05-06 14:22:20 +02:00
Matthew Honnibal ef4fa594aa Draft of NN parser, to be tested 2017-05-05 19:20:39 +02:00
Matthew Honnibal ccaf26206b Pseudocode for parser 2017-05-04 12:17:59 +02:00
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 d2436dc17b Update fix for Issue #999 2017-04-23 18:14:37 +02:00
Matthew Honnibal 60703cede5 Ensure noun chunks can't be nested. Closes #955 2017-04-23 17:56:39 +02:00
Matthew Honnibal 4eef200bab Persist the actions within spacy.parser.cfg 2017-04-20 17:02:44 +02:00
Matthew Honnibal 137b210bcf Restore use of FTRL training 2017-04-16 18:02:42 +02:00
Matthew Honnibal 45464d065e Remove print statement 2017-04-15 16:11:43 +02:00
Matthew Honnibal c76cb8af35 Fix training for new labels 2017-04-15 16:11:26 +02:00
Matthew Honnibal 4884b2c113 Refix StepwiseState 2017-04-15 16:00:28 +02:00
Matthew Honnibal 1a98e48b8e Fix Stepwisestate' 2017-04-15 13:35:01 +02:00
ines 0739ae7b76 Tidy up and fix formatting and imports 2017-04-15 13:05:15 +02:00
Matthew Honnibal 354458484c WIP on add_label bug during NER training 
Currently when a new label is introduced to NER during training,
it causes the labels to be read in in an unexpected order. This
invalidates the model.
 2017-04-14 23:52:17 +02:00
Matthew Honnibal 49e2de900e Add costs property to StepwiseState, to show which moves are gold. 2017-04-10 11:37:04 +02:00
Matthew Honnibal cc36c308f4 Fix noun_chunk rules around coordination 
Closes #693.
 2017-04-07 17:06:40 +02:00
Matthew Honnibal 1bb7b4ca71 Add comment 2017-03-31 13:59:19 +02:00
Matthew Honnibal 47a3ef06a6 Unhack deprojetivization, moving it into pipeline 
Previously the deprojectivize() call was attached to the transition
system, and only called for German. Instead it should be a separate
process, called after the parser. This makes it available for any
language. Closes #898.
 2017-03-31 12:31:50 +02:00
Matthew Honnibal a9b1f23c7d Enable regression loss for parser 2017-03-26 09:26:30 -05:00
Matthew Honnibal b487b8735a Decrease beam density, and fix Python 3 problem in beam 2017-03-20 12:56:05 +01:00
Matthew Honnibal c90dc7ac29 Clean up state initiatisation in transition system 2017-03-16 11:59:11 -05:00
Matthew Honnibal a46933a8fe Clean up FTRL parsing stuff. 2017-03-16 11:58:20 -05:00
Matthew Honnibal 2611ac2a89 Fix scorer bug for NER, related to ambiguity between missing annotations and misaligned tokens 2017-03-16 09:38:28 -05:00
Matthew Honnibal 3d0833c3df Fix off-by-1 in parse features fill_context 2017-03-15 19:55:35 -05:00
Matthew Honnibal 4ef68c413f Approximate cost in Break transition, to speed things up a bit. 2017-03-15 16:40:27 -05:00
Matthew Honnibal 8543db8a5b Use ftrl optimizer in parser 2017-03-15 11:56:37 -05:00
Matthew Honnibal d719f8e77e Use nogil in parser, and set L1 to 0.0 by default 2017-03-15 09:31:01 -05:00
Matthew Honnibal c61c501406 Update beam-parser to allow parser to maintain nogil 2017-03-15 09:30:22 -05:00
Matthew Honnibal c79b3129e3 Fix setting of empty lexeme in initial parse state 2017-03-15 09:26:53 -05:00
Matthew Honnibal 6c4108c073 Add header for beam parser 2017-03-11 12:45:12 -06:00
Matthew Honnibal 931feb3360 Allow beam parsing for NER 2017-03-11 11:12:01 -06:00
Matthew Honnibal ca9c8c57c0 Add iteration argument to parser.update 2017-03-11 07:00:47 -06:00
Matthew Honnibal d59c6926c1 I think this fixes the segfault 2017-03-11 06:58:34 -06:00
Matthew Honnibal 318b9e32ff WIP on beam parser. Currently segfaults. 2017-03-11 06:19:52 -06:00
Matthew Honnibal b0d80dc9ae Update name of 'train' function in BeamParser 2017-03-10 14:35:43 -06:00
Matthew Honnibal d11f1a4ddf Record negative costs in non-monotonic arc eager oracle 2017-03-10 11:22:04 -06:00
Matthew Honnibal ecf91a2dbb Support beam parser 2017-03-10 11:21:21 -06:00
Matthew Honnibal c62da02344 Use ftrl training, to learn compressed model. 2017-03-09 18:43:21 -06:00
Matthew Honnibal 40703988bc Use FTRL training in parser 2017-03-08 01:38:51 +01:00
Roman Inflianskas 66e1109b53 Add support for Universal Dependencies v2.0 2017-03-03 13:17:34 +01:00
Matthew Honnibal 97a1286129 Revert changes to tagger and parser for thinc 6 2017-01-09 10:08:34 -06:00