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spacy
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pl_core_news_sm

Token Classification spaCy Polish Eval Results
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7e2e728
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1 Parent(s): ad54df1

Update spaCy pipeline

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Files changed (20) hide show
  1. LICENSES_SOURCES +0 -18
  2. README.md +0 -0
  3. accuracy.json +293 -293
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +40 -18
  6. lemmatizer/cfg +2163 -0
  7. lemmatizer/{lookups/lookups.bin → model} +2 -2
  8. lemmatizer/trees +0 -0
  9. meta.json +299 -312
  10. morphologizer/model +2 -2
  11. ner/model +2 -2
  12. parser/model +1 -1
  13. parser/moves +1 -1
  14. pl_core_news_sm-any-py3-none-any.whl +2 -2
  15. senter/model +2 -2
  16. tagger/cfg +1 -0
  17. tagger/model +2 -2
  18. tok2vec/model +2 -2
  19. tokenizer +2 -2
  20. vocab/strings.json +2 -2
LICENSES_SOURCES CHANGED
@@ -502,21 +502,3 @@ END OF TERMS AND CONDITIONS```
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- # PoliMorf
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-
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- * Author: Woliński, Marcin; Miłkowski, Marcin; Ogrodniczuk, Maciej; Przepiórkowski, Adam; Szałkiewicz, Lukasz
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- * URL: http://zil.ipipan.waw.pl/PoliMorf
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- * License: BSD-2-Clause
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-
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- ```
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- Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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-
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- 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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-
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- 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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-
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- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.```
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README.md CHANGED
The diff for this file is too large to render. See raw diff
accuracy.json CHANGED
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195
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270
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275
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279
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280
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284
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285
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289
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290
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291
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292
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293
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294
  "advmod:emph": {
295
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296
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297
+ "f": 0.6950207469
 
 
 
 
 
298
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299
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300
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314
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315
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316
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319
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320
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322
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324
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325
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327
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329
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330
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334
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335
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369
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379
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380
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383
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384
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389
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390
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391
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392
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393
  },
394
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395
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429
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433
  },
434
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444
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474
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479
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480
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484
  "obl:orphan": {
485
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486
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  }
489
  },
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525
+ }
526
+ },
527
+ "speed": 7616.4877665601
528
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
config.cfg CHANGED
@@ -10,7 +10,7 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "pl"
13
- pipeline = ["tok2vec","morphologizer","parser","tagger","senter","attribute_ruler","lemmatizer","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
@@ -26,11 +26,22 @@ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
29
- factory = "lemmatizer"
30
- mode = "pos_lookup"
31
- model = null
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 
 
 
 
 
 
 
 
 
 
 
34
 
35
  [components.morphologizer]
36
  factory = "morphologizer"
@@ -39,8 +50,9 @@ overwrite = true
39
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
40
 
41
  [components.morphologizer.model]
42
- @architectures = "spacy.Tagger.v1"
43
  nO = null
 
44
 
45
  [components.morphologizer.model.tok2vec]
46
  @architectures = "spacy.Tok2VecListener.v1"
@@ -70,7 +82,7 @@ nO = null
70
  @architectures = "spacy.MultiHashEmbed.v2"
71
  width = 96
72
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
73
- rows = [5000,2500,2500,2500,100]
74
  include_static_vectors = false
75
 
76
  [components.ner.model.tok2vec.encode]
@@ -108,8 +120,9 @@ overwrite = false
108
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
109
 
110
  [components.senter.model]
111
- @architectures = "spacy.Tagger.v1"
112
  nO = null
 
113
 
114
  [components.senter.model.tok2vec]
115
  @architectures = "spacy.Tok2Vec.v2"
@@ -130,12 +143,14 @@ maxout_pieces = 2
130
 
131
  [components.tagger]
132
  factory = "tagger"
 
133
  overwrite = false
134
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
135
 
136
  [components.tagger.model]
137
- @architectures = "spacy.Tagger.v1"
138
  nO = null
 
139
 
140
  [components.tagger.model.tok2vec]
141
  @architectures = "spacy.Tok2Vec.v2"
@@ -144,7 +159,7 @@ nO = null
144
  @architectures = "spacy.MultiHashEmbed.v2"
145
  width = 96
146
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
147
- rows = [5000,2500,2500,2500,100]
148
  include_static_vectors = false
149
 
150
  [components.tagger.model.tok2vec.encode]
@@ -164,7 +179,7 @@ factory = "tok2vec"
164
  @architectures = "spacy.MultiHashEmbed.v2"
165
  width = ${components.tok2vec.model.encode:width}
166
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
167
- rows = [5000,2500,2500,2500,100]
168
  include_static_vectors = false
169
 
170
  [components.tok2vec.model.encode]
@@ -201,7 +216,7 @@ dropout = 0.1
201
  accumulate_gradient = 1
202
  patience = 5000
203
  max_epochs = 0
204
- max_steps = 0
205
  eval_frequency = 1000
206
  frozen_components = []
207
  before_to_disk = null
@@ -236,18 +251,18 @@ eps = 0.00000001
236
  learn_rate = 0.001
237
 
238
  [training.score_weights]
239
- pos_acc = 0.06
240
- morph_acc = 0.05
241
  morph_per_feat = null
242
  dep_uas = 0.0
243
- dep_las = 0.16
244
  dep_las_per_type = null
245
  sents_p = null
246
  sents_r = null
247
- sents_f = 0.02
248
- tag_acc = 0.06
249
- lemma_acc = 0.5
250
- ents_f = 0.16
251
  ents_p = 0.0
252
  ents_r = 0.0
253
  ents_per_type = null
@@ -264,6 +279,13 @@ after_init = null
264
 
265
  [initialize.components]
266
 
 
 
 
 
 
 
 
267
  [initialize.components.morphologizer]
268
 
269
  [initialize.components.morphologizer.labels]
10
 
11
  [nlp]
12
  lang = "pl"
13
+ pipeline = ["tok2vec","morphologizer","parser","lemmatizer","tagger","senter","attribute_ruler","ner"]
14
  disabled = ["senter"]
15
  before_creation = null
16
  after_creation = null
26
  validate = false
27
 
28
  [components.lemmatizer]
29
+ factory = "trainable_lemmatizer"
30
+ backoff = "orth"
31
+ min_tree_freq = 3
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
+ top_k = 1
35
+
36
+ [components.lemmatizer.model]
37
+ @architectures = "spacy.Tagger.v2"
38
+ nO = null
39
+ normalize = false
40
+
41
+ [components.lemmatizer.model.tok2vec]
42
+ @architectures = "spacy.Tok2VecListener.v1"
43
+ width = ${components.tok2vec.model.encode:width}
44
+ upstream = "tok2vec"
45
 
46
  [components.morphologizer]
47
  factory = "morphologizer"
50
  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
51
 
52
  [components.morphologizer.model]
53
+ @architectures = "spacy.Tagger.v2"
54
  nO = null
55
+ normalize = false
56
 
57
  [components.morphologizer.model.tok2vec]
58
  @architectures = "spacy.Tok2VecListener.v1"
82
  @architectures = "spacy.MultiHashEmbed.v2"
83
  width = 96
84
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
85
+ rows = [5000,1000,2500,2500,50]
86
  include_static_vectors = false
87
 
88
  [components.ner.model.tok2vec.encode]
120
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
121
 
122
  [components.senter.model]
123
+ @architectures = "spacy.Tagger.v2"
124
  nO = null
125
+ normalize = false
126
 
127
  [components.senter.model.tok2vec]
128
  @architectures = "spacy.Tok2Vec.v2"
143
 
144
  [components.tagger]
145
  factory = "tagger"
146
+ neg_prefix = "!"
147
  overwrite = false
148
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
149
 
150
  [components.tagger.model]
151
+ @architectures = "spacy.Tagger.v2"
152
  nO = null
153
+ normalize = false
154
 
155
  [components.tagger.model.tok2vec]
156
  @architectures = "spacy.Tok2Vec.v2"
159
  @architectures = "spacy.MultiHashEmbed.v2"
160
  width = 96
161
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
162
+ rows = [5000,1000,2500,2500,50]
163
  include_static_vectors = false
164
 
165
  [components.tagger.model.tok2vec.encode]
179
  @architectures = "spacy.MultiHashEmbed.v2"
180
  width = ${components.tok2vec.model.encode:width}
181
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
182
+ rows = [5000,1000,2500,2500,50]
183
  include_static_vectors = false
184
 
185
  [components.tok2vec.model.encode]
216
  accumulate_gradient = 1
217
  patience = 5000
218
  max_epochs = 0
219
+ max_steps = 100000
220
  eval_frequency = 1000
221
  frozen_components = []
222
  before_to_disk = null
251
  learn_rate = 0.001
252
 
253
  [training.score_weights]
254
+ pos_acc = 0.1
255
+ morph_acc = 0.09
256
  morph_per_feat = null
257
  dep_uas = 0.0
258
+ dep_las = 0.29
259
  dep_las_per_type = null
260
  sents_p = null
261
  sents_r = null
262
+ sents_f = 0.04
263
+ lemma_acc = 0.1
264
+ tag_acc = 0.1
265
+ ents_f = 0.29
266
  ents_p = 0.0
267
  ents_r = 0.0
268
  ents_per_type = null
279
 
280
  [initialize.components]
281
 
282
+ [initialize.components.lemmatizer]
283
+
284
+ [initialize.components.lemmatizer.labels]
285
+ @readers = "spacy.read_labels.v1"
286
+ path = "corpus/labels/trainable_lemmatizer.json"
287
+ require = false
288
+
289
  [initialize.components.morphologizer]
290
 
291
  [initialize.components.morphologizer.labels]
lemmatizer/cfg ADDED
@@ -0,0 +1,2163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "vectors":0,
@@ -1743,15 +1743,8 @@
1743
  "WINIEN",
1744
  "XXX"
1745
  ],
1746
- "senter":[
1747
- "I",
1748
- "S"
1749
- ],
1750
  "attribute_ruler":[
1751
 
1752
- ],
1753
- "lemmatizer":[
1754
-
1755
  ],
1756
  "ner":[
1757
  "date",
@@ -1766,159 +1759,119 @@
1766
  "tok2vec",
1767
  "morphologizer",
1768
  "parser",
 
1769
  "tagger",
1770
  "attribute_ruler",
1771
- "lemmatizer",
1772
  "ner"
1773
  ],
1774
  "components":[
1775
  "tok2vec",
1776
  "morphologizer",
1777
  "parser",
 
1778
  "tagger",
1779
  "senter",
1780
  "attribute_ruler",
1781
- "lemmatizer",
1782
  "ner"
1783
  ],
1784
  "disabled":[
1785
  "senter"
1786
  ],
1787
  "performance":{
1788
- "sents_p":0.961852861,
1789
- "sents_r":0.9562076749,
1790
- "sents_f":0.9590219606,
1791
- "tag_acc":0.9793915005,
1792
- "speed":6493.3164400978,
1793
- "ents_p":0.8089378238,
1794
- "ents_r":0.7960484385,
1795
- "ents_f":0.8024413749,
1796
- "ents_per_type":{
1797
- "placeName":{
1798
- "p":0.0,
1799
- "r":0.0,
1800
- "f":0.0
1801
- },
1802
- "persName":{
1803
- "p":0.0,
1804
- "r":0.0,
1805
- "f":0.0
1806
- },
1807
- "orgName":{
1808
- "p":0.0,
1809
- "r":0.0,
1810
- "f":0.0
1811
- },
1812
- "geogName":{
1813
- "p":0.0,
1814
- "r":0.0,
1815
- "f":0.0
1816
- },
1817
- "date":{
1818
- "p":0.0,
1819
- "r":0.0,
1820
- "f":0.0
1821
- },
1822
- "time":{
1823
- "p":0.0,
1824
- "r":0.0,
1825
- "f":0.0
1826
- }
1827
- },
1828
  "token_acc":0.9998840378,
1829
  "token_p":0.99628964,
1830
  "token_r":0.9982863284,
1831
  "token_f":0.9972869848,
1832
- "pos_acc":0.9701457861,
1833
- "morph_acc":0.8779524701,
1834
- "morph_micro_p":0.9363801161,
1835
- "morph_micro_r":0.9329043617,
1836
- "morph_micro_f":0.9346390075,
1837
  "morph_per_feat":{
1838
  "Case":{
1839
- "p":0.9040595139,
1840
- "r":0.903074952,
1841
- "f":0.9035669647
1842
  },
1843
  "Gender":{
1844
- "p":0.9102526526,
1845
- "r":0.9099859353,
1846
- "f":0.9101192744
1847
  },
1848
  "Number":{
1849
- "p":0.9680465922,
1850
- "r":0.9665758592,
1851
- "f":0.9673106666
1852
  },
1853
  "AdpType":{
1854
- "p":0.9986666667,
1855
  "r":0.9981343284,
1856
- "f":0.9984004266
1857
  },
1858
  "Variant":{
1859
- "p":0.9919472914,
1860
  "r":0.9963235294,
1861
- "f":0.9941305943
1862
  },
1863
  "Animacy":{
1864
- "p":0.8437014925,
1865
- "r":0.843802245,
1866
- "f":0.8437518658
1867
  },
1868
  "Degree":{
1869
- "p":0.9104225352,
1870
- "r":0.9324870167,
1871
- "f":0.921322691
1872
  },
1873
  "Aspect":{
1874
- "p":0.8887852211,
1875
- "r":0.8745868527,
1876
- "f":0.8816288755
1877
  },
1878
  "Mood":{
1879
- "p":0.9725186766,
1880
- "r":0.9717408691,
1881
- "f":0.9721296173
1882
  },
1883
  "Person":{
1884
- "p":0.9737903226,
1885
- "r":0.9728096677,
1886
- "f":0.9732997481
1887
  },
1888
  "Tense":{
1889
- "p":0.9594453166,
1890
- "r":0.9589435146,
1891
- "f":0.95919435
1892
  },
1893
  "VerbForm":{
1894
- "p":0.9558931186,
1895
- "r":0.9397265203,
1896
- "f":0.9477408819
1897
  },
1898
  "Voice":{
1899
- "p":0.9656731757,
1900
- "r":0.9523616461,
1901
- "f":0.9589712186
1902
  },
1903
  "PunctType":{
1904
- "p":0.9986069998,
1905
- "r":0.9977383438,
1906
- "f":0.9981724828
1907
  },
1908
  "NumForm":{
1909
- "p":0.9811320755,
1910
- "r":0.9492900609,
1911
- "f":0.9649484536
1912
  },
1913
  "PrepCase":{
1914
- "p":0.987804878,
1915
  "r":0.9712230216,
1916
- "f":0.9794437727
1917
  },
1918
  "PronType":{
1919
- "p":0.9701020049,
1920
- "r":0.9629888268,
1921
- "f":0.9665323287
1922
  },
1923
  "Reflex":{
1924
  "p":0.997260274,
@@ -1926,44 +1879,44 @@
1926
  "f":0.9986282579
1927
  },
1928
  "NumType":{
1929
- "p":0.9182058047,
1930
- "r":0.855036855,
1931
- "f":0.8854961832
1932
  },
1933
  "Polarity":{
1934
- "p":0.8930678466,
1935
- "r":0.8328748281,
1936
- "f":0.8619217082
1937
  },
1938
  "Hyph":{
1939
  "p":1.0,
1940
- "r":0.9696969697,
1941
- "f":0.9846153846
1942
  },
1943
  "VerbType":{
1944
- "p":0.9315068493,
1945
- "r":0.8831168831,
1946
- "f":0.9066666667
1947
  },
1948
  "ConjType":{
1949
- "p":0.9533333333,
1950
- "r":0.9470198675,
1951
- "f":0.950166113
1952
  },
1953
  "Clitic":{
1954
- "p":0.9342723005,
1955
- "r":0.9802955665,
1956
- "f":0.9567307692
1957
  },
1958
  "Poss":{
1959
- "p":0.9941176471,
1960
  "r":0.9883040936,
1961
- "f":0.991202346
1962
  },
1963
  "Number[psor]":{
1964
- "p":0.99,
1965
  "r":0.9705882353,
1966
- "f":0.9801980198
1967
  },
1968
  "PartType":{
1969
  "p":0.9516129032,
@@ -1971,29 +1924,29 @@
1971
  "f":0.9147286822
1972
  },
1973
  "Abbr":{
1974
- "p":0.9219512195,
1975
- "r":0.9264705882,
1976
- "f":0.924205379
1977
  },
1978
  "Pun":{
1979
- "p":0.9101796407,
1980
- "r":0.8837209302,
1981
- "f":0.8967551622
1982
  },
1983
  "PunctSide":{
1984
  "p":1.0,
1985
- "r":0.9625,
1986
- "f":0.9808917197
1987
  },
1988
  "Foreign":{
1989
- "p":0.8333333333,
1990
- "r":0.8333333333,
1991
- "f":0.8333333333
1992
  },
1993
  "Emphatic":{
1994
  "p":1.0,
1995
- "r":0.6666666667,
1996
- "f":0.8
1997
  },
1998
  "Polite":{
1999
  "p":0.0,
@@ -2001,173 +1954,171 @@
2001
  "f":0.0
2002
  }
2003
  },
2004
- "dep_uas":0.8787477339,
2005
- "dep_las":0.7965005838,
 
 
 
2006
  "dep_las_per_type":{
2007
  "nsubj":{
2008
- "p":0.8278769841,
2009
- "r":0.8262376238,
2010
- "f":0.8270564916
2011
  },
2012
  "case":{
2013
- "p":0.9679978118,
2014
- "r":0.9703866191,
2015
- "f":0.9691907435
2016
  },
2017
  "amod":{
2018
- "p":0.8675758909,
2019
- "r":0.8847016599,
2020
- "f":0.8760550866
2021
  },
2022
  "nmod":{
2023
- "p":0.5321533923,
2024
- "r":0.5595533499,
2025
- "f":0.5455095252
2026
  },
2027
  "cc":{
2028
- "p":0.8667305849,
2029
- "r":0.8802336904,
2030
- "f":0.8734299517
2031
  },
2032
  "conj":{
2033
- "p":0.6133738602,
2034
- "r":0.6551948052,
2035
- "f":0.6335949765
2036
  },
2037
  "root":{
2038
- "p":0.9278584392,
2039
- "r":0.9232505643,
2040
- "f":0.9255487667
2041
  },
2042
  "obl":{
2043
- "p":0.6878838638,
2044
- "r":0.6739606127,
2045
- "f":0.6808510638
2046
  },
2047
  "obl:arg":{
2048
- "p":0.6421568627,
2049
- "r":0.615746181,
2050
- "f":0.6286742651
2051
  },
2052
  "nummod":{
2053
- "p":0.8345323741,
2054
- "r":0.8285714286,
2055
- "f":0.8315412186
2056
  },
2057
  "obj":{
2058
- "p":0.7922580645,
2059
- "r":0.8036649215,
2060
- "f":0.7979207277
2061
  },
2062
  "advcl":{
2063
- "p":0.6666666667,
2064
- "r":0.6820809249,
2065
- "f":0.6742857143
2066
  },
2067
  "iobj":{
2068
- "p":0.7495682211,
2069
- "r":0.6749611198,
2070
- "f":0.7103109656
2071
  },
2072
  "det:numgov":{
2073
- "p":0.9107142857,
2074
- "r":0.8793103448,
2075
- "f":0.8947368421
2076
  },
2077
  "acl":{
2078
- "p":0.6613272311,
2079
- "r":0.587398374,
2080
- "f":0.6221743811
2081
  },
2082
  "fixed":{
2083
- "p":0.795212766,
2084
  "r":0.7786458333,
2085
- "f":0.7868421053
2086
  },
2087
  "nummod:gov":{
2088
- "p":0.8130841121,
2089
- "r":0.8055555556,
2090
- "f":0.8093023256
2091
  },
2092
  "obl:agent":{
2093
- "p":0.8679245283,
2094
- "r":0.7540983607,
2095
- "f":0.8070175439
2096
  },
2097
  "expl:pv":{
2098
- "p":0.9734219269,
2099
- "r":0.9766666667,
2100
- "f":0.9750415973
2101
  },
2102
  "nmod:arg":{
2103
- "p":0.5769644779,
2104
- "r":0.6153846154,
2105
- "f":0.5955555556
2106
  },
2107
  "advmod":{
2108
- "p":0.8258178603,
2109
- "r":0.8339285714,
2110
- "f":0.8298533985
2111
  },
2112
  "acl:relcl":{
2113
- "p":0.7448275862,
2114
- "r":0.7448275862,
2115
- "f":0.7448275862
2116
- },
2117
- "xcomp":{
2118
- "p":0.9074492099,
2119
- "r":0.9054054054,
2120
- "f":0.9064261556
2121
  },
2122
  "advmod:emph":{
2123
- "p":0.7067510549,
2124
  "r":0.6950207469,
2125
- "f":0.7008368201
2126
- },
2127
- "parataxis:insert":{
2128
- "p":0.5914634146,
2129
- "r":0.4778325123,
2130
- "f":0.5286103542
2131
  },
2132
  "mark":{
2133
- "p":0.8682719547,
2134
- "r":0.8695035461,
2135
- "f":0.868887314
2136
  },
2137
  "ccomp:obj":{
2138
- "p":0.6538461538,
2139
- "r":0.5666666667,
2140
- "f":0.6071428571
 
 
 
 
 
2141
  },
2142
  "advmod:neg":{
2143
- "p":0.9642857143,
2144
- "r":0.9696132597,
2145
- "f":0.9669421488
2146
  },
2147
  "det":{
2148
- "p":0.9044117647,
2149
- "r":0.8848920863,
2150
- "f":0.8945454545
2151
  },
2152
  "cop":{
2153
- "p":0.8680555556,
2154
- "r":0.8445945946,
2155
- "f":0.8561643836
2156
  },
2157
  "flat":{
2158
- "p":0.8093645485,
2159
  "r":0.8402777778,
2160
- "f":0.8245315162
2161
  },
2162
  "nsubj:pass":{
2163
- "p":0.7672413793,
2164
- "r":0.8165137615,
2165
- "f":0.7911111111
2166
  },
2167
  "aux:pass":{
2168
- "p":0.9300699301,
2169
- "r":0.9236111111,
2170
- "f":0.9268292683
2171
  },
2172
  "aux:imp":{
2173
  "p":0.8888888889,
@@ -2175,94 +2126,99 @@
2175
  "f":0.8888888889
2176
  },
2177
  "advcl:cmpr":{
2178
- "p":0.5,
2179
  "r":0.375,
2180
- "f":0.4285714286
2181
  },
2182
  "obl:cmpr":{
2183
- "p":0.7042253521,
2184
- "r":0.5617977528,
2185
- "f":0.625
2186
  },
2187
  "ccomp":{
2188
- "p":0.6401869159,
2189
- "r":0.6401869159,
2190
- "f":0.6401869159
2191
  },
2192
  "nmod:poss":{
2193
  "p":1.0,
2194
  "r":0.1666666667,
2195
  "f":0.2857142857
2196
  },
 
 
 
 
 
2197
  "det:poss":{
2198
- "p":0.9879518072,
2199
- "r":0.9534883721,
2200
- "f":0.9704142012
2201
  },
2202
  "aux":{
2203
- "p":0.871559633,
2204
- "r":0.871559633,
2205
- "f":0.871559633
2206
  },
2207
  "cc:preconj":{
2208
- "p":0.5384615385,
2209
- "r":0.5384615385,
2210
- "f":0.5384615385
2211
  },
2212
  "appos":{
2213
- "p":0.65,
2214
- "r":0.5439330544,
2215
- "f":0.5922551253
2216
- },
2217
- "dep":{
2218
- "p":0.0,
2219
- "r":0.0,
2220
- "f":0.0
2221
  },
2222
  "xcomp:pred":{
2223
- "p":0.6,
2224
- "r":0.5853658537,
2225
- "f":0.5925925926
 
 
 
 
 
2226
  },
2227
  "parataxis:obj":{
2228
- "p":0.7474226804,
2229
- "r":0.7512953368,
2230
- "f":0.7493540052
2231
  },
2232
  "vocative":{
2233
- "p":0.75,
2234
  "r":0.4285714286,
2235
- "f":0.5454545455
2236
  },
2237
  "aux:cnd":{
2238
  "p":1.0,
2239
- "r":0.75,
2240
- "f":0.8571428571
2241
  },
2242
  "advmod:arg":{
 
 
 
 
 
2243
  "p":0.0,
2244
  "r":0.0,
2245
  "f":0.0
2246
  },
2247
  "csubj":{
2248
- "p":0.7333333333,
2249
  "r":0.5,
2250
- "f":0.5945945946
2251
- },
2252
- "amod:flat":{
2253
- "p":0.7864583333,
2254
- "r":0.7989417989,
2255
- "f":0.7926509186
2256
  },
2257
  "nmod:flat":{
2258
- "p":0.8285714286,
2259
- "r":0.725,
2260
- "f":0.7733333333
2261
  },
2262
  "det:nummod":{
2263
- "p":0.9166666667,
2264
  "r":1.0,
2265
- "f":0.9565217391
2266
  },
2267
  "nmod:pred":{
2268
  "p":0.0,
@@ -2270,14 +2226,14 @@
2270
  "f":0.0
2271
  },
2272
  "ccomp:cleft":{
2273
- "p":0.8421052632,
2274
  "r":0.9411764706,
2275
- "f":0.8888888889
2276
  },
2277
  "list":{
2278
- "p":0.7435897436,
2279
- "r":0.7435897436,
2280
- "f":0.7435897436
2281
  },
2282
  "xcomp:subj":{
2283
  "p":0.0,
@@ -2285,32 +2241,69 @@
2285
  "f":0.0
2286
  },
2287
  "orphan":{
2288
- "p":0.2,
2289
- "r":0.1428571429,
2290
- "f":0.1666666667
 
 
 
 
 
2291
  },
2292
  "discourse:intj":{
2293
- "p":0.2,
2294
- "r":0.1111111111,
2295
- "f":0.1428571429
2296
  },
2297
  "xcomp:cleft":{
2298
  "p":1.0,
2299
  "r":1.0,
2300
  "f":1.0
2301
  },
2302
- "advcl:relcl":{
2303
- "p":0.0,
2304
- "r":0.0,
2305
- "f":0.0
2306
- },
2307
  "obl:orphan":{
2308
  "p":0.0,
2309
  "r":0.0,
2310
  "f":0.0
2311
  }
2312
  },
2313
- "lemma_acc":0.8669849239
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2314
  },
2315
  "sources":[
2316
  {
@@ -2330,12 +2323,6 @@
2330
  "url":"http://nkjp.pl/",
2331
  "license":"GNU GPL 3.0",
2332
  "author":"Miros\u0142aw Ba\u0144ko, Rafa\u0142 L. G\u00f3rski, Barbara Lewandowska-Tomaszczyk, Marek \u0141azi\u0144ski, Piotr P\u0119zik, Adam Przepi\u00f3rkowski"
2333
- },
2334
- {
2335
- "name":"PoliMorf",
2336
- "url":"http://zil.ipipan.waw.pl/PoliMorf",
2337
- "license":"BSD-2-Clause",
2338
- "author":"Woli\u0144ski, Marcin; Mi\u0142kowski, Marcin; Ogrodniczuk, Maciej; Przepi\u00f3rkowski, Adam; Sza\u0142kiewicz, Lukasz"
2339
  }
2340
  ],
2341
  "requirements":[
1
  {
2
  "lang":"pl",
3
  "name":"core_news_sm",
4
+ "version":"3.3.0",
5
+ "description":"Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), tagger, senter, ner.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"GNU GPL 3.0",
10
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