Matthew Honnibal
42bd26f6f3
Give parser its own tok2vec weights
2017-08-06 18:33:46 +02:00
Matthew Honnibal
bfffdeabb2
Fix parser batch-size bug introduced during cleanup
2017-08-06 14:10:48 +02:00
Matthew Honnibal
7f876a7a82
Clean up some unused code in parser
2017-08-06 00:00:21 +02:00
Matthew Honnibal
3da1063b36
Add beam decoding to parser, to allow NER uncertainties
2017-07-20 15:02:55 +02:00
Matthew Honnibal
6d0356e6cc
Whitespace
2017-06-04 14:55:24 -05:00
ines
6669583f4e
Use OrderedDict
2017-06-02 21:07:56 +02:00
ines
fdd0923be4
Translate model=True in exclude to lower_model and upper_model
2017-06-02 18:37:07 +02:00
Matthew Honnibal
4c97371051
Fixes for thinc 6.7
2017-06-01 04:22:16 -05:00
Matthew Honnibal
ae8010b526
Move weight serialization to Thinc
2017-06-01 02:56:12 -05:00
Matthew Honnibal
33e5ec737f
Fix to/from disk methods
2017-05-31 13:43:10 +02:00
Matthew Honnibal
aa4c33914b
Work on serialization
2017-05-29 08:40:45 -05:00
Matthew Honnibal
59f355d525
Fixes for serialization
2017-05-29 13:38:20 +02:00
Matthew Honnibal
ff26aa6c37
Work on to/from bytes/disk serialization methods
2017-05-29 11:45:45 +02:00
Matthew Honnibal
6b019b0540
Update to/from bytes methods
2017-05-29 10:14:20 +02:00
Matthew Honnibal
8a24c60c1e
Merge branch 'develop' of https://github.com/explosion/spaCy into develop
2017-05-28 08:12:05 -05:00
Matthew Honnibal
bc97bc292c
Fix __call__ method
2017-05-28 08:11:58 -05:00
Matthew Honnibal
c1263a844b
Merge branch 'develop' of https://github.com/explosion/spaCy into develop
2017-05-27 18:32:57 -05:00
Matthew Honnibal
9e711c3476
Divide d_loss by batch size
2017-05-27 18:32:46 -05:00
Matthew Honnibal
a1d4c97fb7
Improve correctness of minibatching
2017-05-27 17:59:00 -05:00
Matthew Honnibal
49235017bf
Merge branch 'develop' of https://github.com/explosion/spaCy into develop
2017-05-27 16:34:28 -05:00
Matthew Honnibal
3eea5383a1
Add move_names property to parser
2017-05-27 15:51:55 -05:00
Matthew Honnibal
3d22fcaf0b
Return None from parser if there are no annotations
2017-05-26 14:02:59 -05:00
Matthew Honnibal
3d5a536eaa
Improve efficiency of parser batching
2017-05-26 11:31:23 -05:00
Matthew Honnibal
2cb7cc2db7
Remove commented code from parser
2017-05-25 14:55:09 -05:00
Matthew Honnibal
c245ff6b27
Rebatch parser inputs, with mid-sentence states
2017-05-25 11:18:59 -05:00
Matthew Honnibal
679efe79c8
Make parser update less hacky
2017-05-25 06:49:00 -05:00
Matthew Honnibal
e1cb5be0c7
Adjust dropout, depth and multi-task in parser
2017-05-24 20:11:41 -05:00
Matthew Honnibal
620df0414f
Fix dropout in parser
2017-05-23 15:20:45 -05:00
Matthew Honnibal
8026c183d0
Add hacky logic to accelerate depth=0 case in parser
2017-05-23 11:06:49 -05:00
Matthew Honnibal
a8b6d11c5b
Support optional maxout layer
2017-05-23 05:58:07 -05:00
Matthew Honnibal
c55b8fa7c5
Fix bugs in parse_batch
2017-05-23 05:57:52 -05:00
Matthew Honnibal
964707d795
Restore support for deeper networks in parser
2017-05-23 05:31:13 -05:00
Matthew Honnibal
6b918cc58e
Support making updates periodically during training
2017-05-23 04:23:29 -05:00
Matthew Honnibal
3f725ff7b3
Roll back changes to parser update
2017-05-23 04:23:05 -05:00
Matthew Honnibal
3959d778ac
Revert "Revert "WIP on improving parser efficiency""
...
This reverts commit 532afef4a8
.
2017-05-23 03:06:53 -05:00
Matthew Honnibal
532afef4a8
Revert "WIP on improving parser efficiency"
...
This reverts commit bdaac7ab44
.
2017-05-23 03:05:25 -05:00
Matthew Honnibal
bdaac7ab44
WIP on improving parser efficiency
2017-05-23 02:59:31 -05:00
Matthew Honnibal
8a9e318deb
Put the parsing loop in a nogil prange block
2017-05-22 17:58:12 -05:00
Matthew Honnibal
e2136232f9
Exclude states with no matching gold annotations from parsing
2017-05-22 10:30:12 -05:00
Matthew Honnibal
2a5eb9f61e
Make nonproj methods top-level functions, instead of class methods
2017-05-22 04:51:08 -05:00
Matthew Honnibal
025d9bbc37
Fix handling of non-projective deps
2017-05-22 04:51:08 -05:00
Matthew Honnibal
1b5fa68996
Do pseudo-projective pre-processing for parser
2017-05-22 04:51:08 -05:00
Matthew Honnibal
3b7c108246
Pass tokvecs through as a list, instead of concatenated. Also fix padding
2017-05-20 13:23:32 -05:00
Matthew Honnibal
d52b65aec2
Revert "Move to contiguous buffer for token_ids and d_vectors"
...
This reverts commit 3ff8c35a79
.
2017-05-20 11:26:23 -05:00
Matthew Honnibal
b272890a8c
Try to move parser to simpler PrecomputedAffine class. Currently broken -- maybe the previous change
2017-05-20 06:40:10 -05:00
Matthew Honnibal
3ff8c35a79
Move to contiguous buffer for token_ids and d_vectors
2017-05-20 04:17:30 -05:00
Matthew Honnibal
a1ba20e2b1
Fix over-run on parse_batch
2017-05-19 18:57:30 -05:00
Matthew Honnibal
e84de028b5
Remove 'rebatch' op, and remove min-batch cap
2017-05-19 18:16:36 -05:00
Matthew Honnibal
c12ab47a56
Remove state argument in pipeline. Other changes
2017-05-19 13:26:36 -05:00
Matthew Honnibal
c2c825127a
Fix use_params and pipe methods
2017-05-18 08:30:59 -05:00
Matthew Honnibal
fc8d3a112c
Add util.env_opt support: Can set hyper params through environment variables.
2017-05-18 04:36:53 -05:00
Matthew Honnibal
d2626fdb45
Fix name error in nn parser
2017-05-18 04:31:01 -05:00
Matthew Honnibal
793430aa7a
Get spaCy train command working with neural network
...
* Integrate models into pipeline
* Add basic serialization (maybe incorrect)
* Fix pickle on vocab
2017-05-17 12:04:50 +02:00
Matthew Honnibal
8cf097ca88
Redesign training to integrate NN components
...
* Obsolete .parser, .entity etc names in favour of .pipeline
* Components no longer create models on initialization
* Models created by loading method (from_disk(), from_bytes() etc), or
.begin_training()
* Add .predict(), .set_annotations() methods in components
* Pass state through pipeline, to allow components to share information
more flexibly.
2017-05-16 16:17:30 +02:00
Matthew Honnibal
5211645af3
Get data flowing through pipeline. Needs redesign
2017-05-16 11:21:59 +02:00
Matthew Honnibal
a9edb3aa1d
Improve integration of NN parser, to support unified training API
2017-05-15 21:53:27 +02:00
Matthew Honnibal
5cac951a16
Move new parser to nn_parser.pyx, and restore old parser, to make tests pass.
2017-05-14 00:55:01 +02:00