svlandeg
|
cd6c263fe4
|
format offsets
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2019-07-23 11:31:29 +02:00 |
svlandeg
|
9f8c1e71a2
|
fix for Issue #4000
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2019-07-22 13:34:12 +02:00 |
svlandeg
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dae8a21282
|
rename entity frequency
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2019-07-19 17:40:28 +02:00 |
svlandeg
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21176517a7
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have gold.links correspond exactly to doc.ents
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2019-07-19 12:36:15 +02:00 |
svlandeg
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e1213eaf6a
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use original gold object in get_loss function
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2019-07-18 13:35:10 +02:00 |
svlandeg
|
ec55d2fccd
|
filter training data beforehand (+black formatting)
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2019-07-18 10:22:24 +02:00 |
Ines Montani
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f2ea3e3ea2
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Merge branch 'master' into feature/nel-wiki
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2019-07-09 21:57:47 +02:00 |
Patrick Hogan
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8c0586fd9c
|
Update example and sign contributor agreement (#3916)
* Sign contributor agreement for askhogan
* Remove unneeded `seen_tokens` which is never used within the scope
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2019-07-08 10:27:20 +02:00 |
svlandeg
|
b7a0c9bf60
|
fixing the context/prior weight settings
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2019-07-03 17:48:09 +02:00 |
svlandeg
|
8840d4b1b3
|
fix for context encoder optimizer
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2019-07-03 13:35:36 +02:00 |
svlandeg
|
3420cbe496
|
small fixes
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2019-07-03 10:25:51 +02:00 |
svlandeg
|
2d2dea9924
|
experiment with adding NER types to the feature vector
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2019-06-29 14:52:36 +02:00 |
svlandeg
|
c664f58246
|
adding prior probability as feature in the model
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2019-06-28 16:22:58 +02:00 |
svlandeg
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1c80b85241
|
fix tests
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2019-06-28 08:59:23 +02:00 |
svlandeg
|
68a0662019
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context encoder with Tok2Vec + linking model instead of cosine
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2019-06-28 08:29:31 +02:00 |
svlandeg
|
dbc53b9870
|
rename to KBEntryC
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2019-06-26 15:55:26 +02:00 |
svlandeg
|
1de61f68d6
|
improve speed of prediction loop
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2019-06-26 13:53:10 +02:00 |
svlandeg
|
bee23cd8af
|
try Tok2Vec instead of SpacyVectors
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2019-06-25 16:09:22 +02:00 |
svlandeg
|
b58bace84b
|
small fixes
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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
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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
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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 |