Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity
10,282 Commits 69 Branches 177 Tags 298 MiB
Commit Graph

372 Commits

Author SHA1 Message Date
Ines Montani f2ea3e3ea2
Merge branch 'master' into feature/nel-wiki 2019-07-09 21:57:47 +02:00
Patrick Hogan 8c0586fd9c Update example and sign contributor agreement (#3916) 
* Sign contributor agreement for askhogan

* Remove unneeded `seen_tokens` which is never used within the scope
 2019-07-08 10:27:20 +02:00
svlandeg b7a0c9bf60 fixing the context/prior weight settings 2019-07-03 17:48:09 +02:00
svlandeg 8840d4b1b3 fix for context encoder optimizer 2019-07-03 13:35:36 +02:00
svlandeg 3420cbe496 small fixes 2019-07-03 10:25:51 +02:00
svlandeg 2d2dea9924 experiment with adding NER types to the feature vector 2019-06-29 14:52:36 +02:00
svlandeg c664f58246 adding prior probability as feature in the model 2019-06-28 16:22:58 +02:00
svlandeg 1c80b85241 fix tests 2019-06-28 08:59:23 +02:00
svlandeg 68a0662019 context encoder with Tok2Vec + linking model instead of cosine 2019-06-28 08:29:31 +02:00
svlandeg dbc53b9870 rename to KBEntryC 2019-06-26 15:55:26 +02:00
svlandeg 1de61f68d6 improve speed of prediction loop 2019-06-26 13:53:10 +02:00
svlandeg bee23cd8af try Tok2Vec instead of SpacyVectors 2019-06-25 16:09:22 +02:00
svlandeg b58bace84b small fixes 2019-06-24 10:55:04 +02:00
svlandeg a31648d28b further code cleanup 2019-06-19 09:15:43 +02:00
svlandeg 478305cd3f small tweaks and documentation 2019-06-18 18:38:09 +02:00
svlandeg 0d177c1146 clean up code, remove old code, move to bin 2019-06-18 13:20:40 +02:00
svlandeg ffae7d3555 sentence encoder only (removing article/mention encoder) 2019-06-18 00:05:47 +02:00
svlandeg 6332af40de baseline performances: oracle KB, random and prior prob 2019-06-17 14:39:40 +02:00
svlandeg 24db1392b9 reprocessing all of wikipedia for training data 2019-06-16 21:14:45 +02:00
svlandeg 81731907ba performance per entity type 2019-06-14 19:55:46 +02:00
svlandeg b312f2d0e7 redo training data to be independent of KB and entity-level instead of doc-level 2019-06-14 15:55:26 +02:00
svlandeg 0b04d142de regenerating KB 2019-06-13 22:32:56 +02:00
svlandeg 78dd3e11da write entity linking pipe to file and keep vocab consistent between kb and nlp 2019-06-13 16:25:39 +02:00
svlandeg b12001f368 small fixes 2019-06-12 22:05:53 +02:00
svlandeg 6521cfa132 speeding up training 2019-06-12 13:37:05 +02:00
svlandeg 66813a1fdc speed up predictions 2019-06-11 14:18:20 +02:00
svlandeg fe1ed432ef eval on dev set, varying combo's of prior and context scores 2019-06-11 11:40:58 +02:00
svlandeg 83dc7b46fd first tests with EL pipe 2019-06-10 21:25:26 +02:00
svlandeg 7de1ee69b8 training loop in proper pipe format 2019-06-07 15:55:10 +02:00
svlandeg 0486ccabfd introduce goldparse.links 2019-06-07 13:54:45 +02:00
svlandeg a5c061f506 storing NEL training data in GoldParse objects 2019-06-07 12:58:42 +02:00
svlandeg 61f0e2af65 code cleanup 2019-06-06 20:22:14 +02:00
svlandeg d8b435ceff pretraining description vectors and storing them in the KB 2019-06-06 19:51:27 +02:00
svlandeg 5c723c32c3 entity vectors in the KB + serialization of them 2019-06-05 18:29:18 +02:00
svlandeg 9abbd0899f separate entity encoder to get 64D descriptions 2019-06-05 00:09:46 +02:00
svlandeg fb37cdb2d3 implementing el pipe in pipes.pyx (not tested yet) 2019-06-03 21:32:54 +02:00
svlandeg d83a1e3052 Merge branch 'master' into feature/nel-wiki 2019-06-03 09:35:10 +02:00
svlandeg 9e88763dab 60% acc run 2019-06-03 08:04:49 +02:00
svlandeg 268a52ead7 experimenting with cosine sim for negative examples (not OK yet) 2019-05-29 16:07:53 +02:00
svlandeg a761929fa5 context encoder combining sentence and article 2019-05-28 18:14:49 +02:00
svlandeg 992fa92b66 refactor again to clusters of entities and cosine similarity 2019-05-28 00:05:22 +02:00
svlandeg 8c4aa076bc small fixes 2019-05-27 14:29:38 +02:00
svlandeg cfc27d7ff9 using Tok2Vec instead 2019-05-26 23:39:46 +02:00
svlandeg abf9af81c9 learn rate en epochs 2019-05-24 22:04:25 +02:00
svlandeg 86ed771e0b adding local sentence encoder 2019-05-23 16:59:11 +02:00
svlandeg 4392c01b7b obtain sentence for each mention 2019-05-23 15:37:05 +02:00
svlandeg 97241a3ed7 upsampling and batch processing 2019-05-22 23:40:10 +02:00
svlandeg 1a16490d20 update per entity 2019-05-22 12:46:40 +02:00
svlandeg eb08bdb11f hidden with for encoders 2019-05-21 23:42:46 +02:00
svlandeg 7b13e3d56f undersampling negatives 2019-05-21 18:35:10 +02:00