EC2 Default User
commited on
Commit
•
182612e
1
Parent(s):
c58aec4
Update spaCy pipeline
Browse files- .gitattributes +1 -0
- LICENSES_SOURCES +0 -551
- README.md +58 -44
- accuracy.json +154 -154
- attribute_ruler/patterns +0 -0
- config.cfg +35 -15
- da_core_news_md-any-py3-none-any.whl +2 -2
- lemmatizer/cfg +457 -0
- lemmatizer/{lookups/lookups.bin → model} +2 -2
- lemmatizer/trees +0 -0
- meta.json +160 -173
- morphologizer/model +2 -2
- ner/model +2 -2
- parser/model +1 -1
- parser/moves +1 -1
- senter/model +2 -2
- tok2vec/model +2 -2
- tokenizer +0 -0
- vocab/key2row +0 -0
- vocab/strings.json +2 -2
.gitattributes
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@@ -19,3 +19,4 @@
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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+
*key2row filter=lfs diff=lfs merge=lfs -text
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LICENSES_SOURCES
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@@ -878,557 +878,6 @@ Creative Commons may be contacted at creativecommons.org.
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# Lemmatization Lists
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* Author: Michal Měchura
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* URL: https://github.com/michmech/lemmatization-lists/
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* License: ODbL
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```
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## ODC Open Database License (ODbL)
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1233 |
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available at no more than a reasonable production cost for physical
|
1234 |
-
distributions and free of charge if distributed over the internet.
|
1235 |
-
|
1236 |
-
4.7 Technological measures and additional terms
|
1237 |
-
|
1238 |
-
a. This License does not allow You to impose (except subject to
|
1239 |
-
Section 4.7 b.) any terms or any technological measures on the
|
1240 |
-
Database, a Derivative Database, or the whole or a Substantial part of
|
1241 |
-
the Contents that alter or restrict the terms of this License, or any
|
1242 |
-
rights granted under it, or have the effect or intent of restricting
|
1243 |
-
the ability of any person to exercise those rights.
|
1244 |
-
|
1245 |
-
b. Parallel distribution. You may impose terms or technological
|
1246 |
-
measures on the Database, a Derivative Database, or the whole or a
|
1247 |
-
Substantial part of the Contents (a "Restricted Database") in
|
1248 |
-
contravention of Section 4.74 a. only if You also make a copy of the
|
1249 |
-
Database or a Derivative Database available to the recipient of the
|
1250 |
-
Restricted Database:
|
1251 |
-
|
1252 |
-
i. That is available without additional fee;
|
1253 |
-
|
1254 |
-
ii. That is available in a medium that does not alter or restrict
|
1255 |
-
the terms of this License, or any rights granted under it, or have
|
1256 |
-
the effect or intent of restricting the ability of any person to
|
1257 |
-
exercise those rights (an "Unrestricted Database"); and
|
1258 |
-
|
1259 |
-
iii. The Unrestricted Database is at least as accessible to the
|
1260 |
-
recipient as a practical matter as the Restricted Database.
|
1261 |
-
|
1262 |
-
c. For the avoidance of doubt, You may place this Database or a
|
1263 |
-
Derivative Database in an authenticated environment, behind a
|
1264 |
-
password, or within a similar access control scheme provided that You
|
1265 |
-
do not alter or restrict the terms of this License or any rights
|
1266 |
-
granted under it or have the effect or intent of restricting the
|
1267 |
-
ability of any person to exercise those rights.
|
1268 |
-
|
1269 |
-
4.8 Licensing of others. You may not sublicense the Database. Each time
|
1270 |
-
You communicate the Database, the whole or Substantial part of the
|
1271 |
-
Contents, or any Derivative Database to anyone else in any way, the
|
1272 |
-
Licensor offers to the recipient a license to the Database on the same
|
1273 |
-
terms and conditions as this License. You are not responsible for
|
1274 |
-
enforcing compliance by third parties with this License, but You may
|
1275 |
-
enforce any rights that You have over a Derivative Database. You are
|
1276 |
-
solely responsible for any modifications of a Derivative Database made
|
1277 |
-
by You or another Person at Your direction. You may not impose any
|
1278 |
-
further restrictions on the exercise of the rights granted or affirmed
|
1279 |
-
under this License.
|
1280 |
-
|
1281 |
-
### 5.0 Moral rights
|
1282 |
-
|
1283 |
-
5.1 Moral rights. This section covers moral rights, including any rights
|
1284 |
-
to be identified as the author of the Database or to object to treatment
|
1285 |
-
that would otherwise prejudice the author's honour and reputation, or
|
1286 |
-
any other derogatory treatment:
|
1287 |
-
|
1288 |
-
a. For jurisdictions allowing waiver of moral rights, Licensor waives
|
1289 |
-
all moral rights that Licensor may have in the Database to the fullest
|
1290 |
-
extent possible by the law of the relevant jurisdiction under Section
|
1291 |
-
10.4;
|
1292 |
-
|
1293 |
-
b. If waiver of moral rights under Section 5.1 a in the relevant
|
1294 |
-
jurisdiction is not possible, Licensor agrees not to assert any moral
|
1295 |
-
rights over the Database and waives all claims in moral rights to the
|
1296 |
-
fullest extent possible by the law of the relevant jurisdiction under
|
1297 |
-
Section 10.4; and
|
1298 |
-
|
1299 |
-
c. For jurisdictions not allowing waiver or an agreement not to assert
|
1300 |
-
moral rights under Section 5.1 a and b, the author may retain their
|
1301 |
-
moral rights over certain aspects of the Database.
|
1302 |
-
|
1303 |
-
Please note that some jurisdictions do not allow for the waiver of moral
|
1304 |
-
rights, and so moral rights may still subsist over the Database in some
|
1305 |
-
jurisdictions.
|
1306 |
-
|
1307 |
-
### 6.0 Fair dealing, Database exceptions, and other rights not affected
|
1308 |
-
|
1309 |
-
6.1 This License does not affect any rights that You or anyone else may
|
1310 |
-
independently have under any applicable law to make any use of this
|
1311 |
-
Database, including without limitation:
|
1312 |
-
|
1313 |
-
a. Exceptions to the Database Right including: Extraction of Contents
|
1314 |
-
from non-electronic Databases for private purposes, Extraction for
|
1315 |
-
purposes of illustration for teaching or scientific research, and
|
1316 |
-
Extraction or Re-utilisation for public security or an administrative
|
1317 |
-
or judicial procedure.
|
1318 |
-
|
1319 |
-
b. Fair dealing, fair use, or any other legally recognised limitation
|
1320 |
-
or exception to infringement of copyright or other applicable laws.
|
1321 |
-
|
1322 |
-
6.2 This License does not affect any rights of lawful users to Extract
|
1323 |
-
and Re-utilise insubstantial parts of the Contents, evaluated
|
1324 |
-
quantitatively or qualitatively, for any purposes whatsoever, including
|
1325 |
-
creating a Derivative Database (subject to other rights over the
|
1326 |
-
Contents, see Section 2.4). The repeated and systematic Extraction or
|
1327 |
-
Re-utilisation of insubstantial parts of the Contents may however amount
|
1328 |
-
to the Extraction or Re-utilisation of a Substantial part of the
|
1329 |
-
Contents.
|
1330 |
-
|
1331 |
-
### 7.0 Warranties and Disclaimer
|
1332 |
-
|
1333 |
-
7.1 The Database is licensed by the Licensor "as is" and without any
|
1334 |
-
warranty of any kind, either express, implied, or arising by statute,
|
1335 |
-
custom, course of dealing, or trade usage. Licensor specifically
|
1336 |
-
disclaims any and all implied warranties or conditions of title,
|
1337 |
-
non-infringement, accuracy or completeness, the presence or absence of
|
1338 |
-
errors, fitness for a particular purpose, merchantability, or otherwise.
|
1339 |
-
Some jurisdictions do not allow the exclusion of implied warranties, so
|
1340 |
-
this exclusion may not apply to You.
|
1341 |
-
|
1342 |
-
### 8.0 Limitation of liability
|
1343 |
-
|
1344 |
-
8.1 Subject to any liability that may not be excluded or limited by law,
|
1345 |
-
the Licensor is not liable for, and expressly excludes, all liability
|
1346 |
-
for loss or damage however and whenever caused to anyone by any use
|
1347 |
-
under this License, whether by You or by anyone else, and whether caused
|
1348 |
-
by any fault on the part of the Licensor or not. This exclusion of
|
1349 |
-
liability includes, but is not limited to, any special, incidental,
|
1350 |
-
consequential, punitive, or exemplary damages such as loss of revenue,
|
1351 |
-
data, anticipated profits, and lost business. This exclusion applies
|
1352 |
-
even if the Licensor has been advised of the possibility of such
|
1353 |
-
damages.
|
1354 |
-
|
1355 |
-
8.2 If liability may not be excluded by law, it is limited to actual and
|
1356 |
-
direct financial loss to the extent it is caused by proved negligence on
|
1357 |
-
the part of the Licensor.
|
1358 |
-
|
1359 |
-
### 9.0 Termination of Your rights under this License
|
1360 |
-
|
1361 |
-
9.1 Any breach by You of the terms and conditions of this License
|
1362 |
-
automatically terminates this License with immediate effect and without
|
1363 |
-
notice to You. For the avoidance of doubt, Persons who have received the
|
1364 |
-
Database, the whole or a Substantial part of the Contents, Derivative
|
1365 |
-
Databases, or the Database as part of a Collective Database from You
|
1366 |
-
under this License will not have their licenses terminated provided
|
1367 |
-
their use is in full compliance with this License or a license granted
|
1368 |
-
under Section 4.8 of this License. Sections 1, 2, 7, 8, 9 and 10 will
|
1369 |
-
survive any termination of this License.
|
1370 |
-
|
1371 |
-
9.2 If You are not in breach of the terms of this License, the Licensor
|
1372 |
-
will not terminate Your rights under it.
|
1373 |
-
|
1374 |
-
9.3 Unless terminated under Section 9.1, this License is granted to You
|
1375 |
-
for the duration of applicable rights in the Database.
|
1376 |
-
|
1377 |
-
9.4 Reinstatement of rights. If you cease any breach of the terms and
|
1378 |
-
conditions of this License, then your full rights under this License
|
1379 |
-
will be reinstated:
|
1380 |
-
|
1381 |
-
a. Provisionally and subject to permanent termination until the 60th
|
1382 |
-
day after cessation of breach;
|
1383 |
-
|
1384 |
-
b. Permanently on the 60th day after cessation of breach unless
|
1385 |
-
otherwise reasonably notified by the Licensor; or
|
1386 |
-
|
1387 |
-
c. Permanently if reasonably notified by the Licensor of the
|
1388 |
-
violation, this is the first time You have received notice of
|
1389 |
-
violation of this License from the Licensor, and You cure the
|
1390 |
-
violation prior to 30 days after your receipt of the notice.
|
1391 |
-
|
1392 |
-
Persons subject to permanent termination of rights are not eligible to
|
1393 |
-
be a recipient and receive a license under Section 4.8.
|
1394 |
-
|
1395 |
-
9.5 Notwithstanding the above, Licensor reserves the right to release
|
1396 |
-
the Database under different license terms or to stop distributing or
|
1397 |
-
making available the Database. Releasing the Database under different
|
1398 |
-
license terms or stopping the distribution of the Database will not
|
1399 |
-
withdraw this License (or any other license that has been, or is
|
1400 |
-
required to be, granted under the terms of this License), and this
|
1401 |
-
License will continue in full force and effect unless terminated as
|
1402 |
-
stated above.
|
1403 |
-
|
1404 |
-
### 10.0 General
|
1405 |
-
|
1406 |
-
10.1 If any provision of this License is held to be invalid or
|
1407 |
-
unenforceable, that must not affect the validity or enforceability of
|
1408 |
-
the remainder of the terms and conditions of this License and each
|
1409 |
-
remaining provision of this License shall be valid and enforced to the
|
1410 |
-
fullest extent permitted by law.
|
1411 |
-
|
1412 |
-
10.2 This License is the entire agreement between the parties with
|
1413 |
-
respect to the rights granted here over the Database. It replaces any
|
1414 |
-
earlier understandings, agreements or representations with respect to
|
1415 |
-
the Database.
|
1416 |
-
|
1417 |
-
10.3 If You are in breach of the terms of this License, You will not be
|
1418 |
-
entitled to rely on the terms of this License or to complain of any
|
1419 |
-
breach by the Licensor.
|
1420 |
-
|
1421 |
-
10.4 Choice of law. This License takes effect in and will be governed by
|
1422 |
-
the laws of the relevant jurisdiction in which the License terms are
|
1423 |
-
sought to be enforced. If the standard suite of rights granted under
|
1424 |
-
applicable copyright law and Database Rights in the relevant
|
1425 |
-
jurisdiction includes additional rights not granted under this License,
|
1426 |
-
these additional rights are granted in this License in order to meet the
|
1427 |
-
terms of this License.```
|
1428 |
-
|
1429 |
-
|
1430 |
-
|
1431 |
-
|
1432 |
# Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
|
1433 |
|
1434 |
* Author: Explosion
|
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|
878 |
|
879 |
|
880 |
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|
881 |
# Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)
|
882 |
|
883 |
* Author: Explosion
|
README.md
CHANGED
@@ -14,61 +14,76 @@ model-index:
|
|
14 |
metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
-
value: 0.
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
-
value: 0.
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
-
value: 0.
|
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|
24 |
- task:
|
25 |
name: POS
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
-
- name: POS Accuracy
|
29 |
type: accuracy
|
30 |
-
value: 0.
|
31 |
- task:
|
32 |
-
name:
|
33 |
type: token-classification
|
34 |
metrics:
|
35 |
-
- name:
|
36 |
-
type:
|
37 |
-
value: 0.
|
38 |
-
- name: SENTER Recall
|
39 |
-
type: recall
|
40 |
-
value: 0.8971631206
|
41 |
-
- name: SENTER F Score
|
42 |
-
type: f_score
|
43 |
-
value: 0.902765388
|
44 |
- task:
|
45 |
-
name:
|
46 |
type: token-classification
|
47 |
metrics:
|
48 |
-
- name:
|
49 |
type: accuracy
|
50 |
-
value: 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
- task:
|
52 |
name: LABELED_DEPENDENCIES
|
53 |
type: token-classification
|
54 |
metrics:
|
55 |
-
- name: Labeled
|
56 |
-
type:
|
57 |
-
value: 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
---
|
59 |
### Details: https://spacy.io/models/da#da_core_news_md
|
60 |
|
61 |
-
Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler
|
62 |
|
63 |
| Feature | Description |
|
64 |
| --- | --- |
|
65 |
| **Name** | `da_core_news_md` |
|
66 |
-
| **Version** | `3.
|
67 |
-
| **spaCy** | `>=3.
|
68 |
-
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `
|
69 |
-
| **Components** | `tok2vec`, `morphologizer`, `parser`, `
|
70 |
| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
|
71 |
-
| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[
|
72 |
| **License** | `CC BY-SA 4.0` |
|
73 |
| **Author** | [Explosion](https://explosion.ai) |
|
74 |
|
@@ -76,13 +91,12 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
|
|
76 |
|
77 |
<details>
|
78 |
|
79 |
-
<summary>View label scheme (
|
80 |
|
81 |
| Component | Labels |
|
82 |
| --- | --- |
|
83 |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
|
84 |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `advmod:lmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `punct`, `xcomp` |
|
85 |
-
| **`senter`** | `I`, `S` |
|
86 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
87 |
|
88 |
</details>
|
@@ -95,18 +109,18 @@ Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
|
|
95 |
| `TOKEN_P` | 99.78 |
|
96 |
| `TOKEN_R` | 99.75 |
|
97 |
| `TOKEN_F` | 99.76 |
|
98 |
-
| `POS_ACC` | 96.
|
99 |
-
| `MORPH_ACC` |
|
100 |
-
| `MORPH_MICRO_P` | 96.
|
101 |
-
| `MORPH_MICRO_R` | 96.
|
102 |
-
| `MORPH_MICRO_F` | 96.
|
103 |
-
| `SENTS_P` |
|
104 |
-
| `SENTS_R` |
|
105 |
-
| `SENTS_F` |
|
106 |
-
| `DEP_UAS` |
|
107 |
-
| `DEP_LAS` |
|
108 |
-
| `
|
109 |
-
| `
|
110 |
-
| `ENTS_P` | 80.
|
111 |
-
| `ENTS_R` | 80.
|
112 |
-
| `ENTS_F` | 80.
|
|
|
14 |
metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
+
value: 0.8079331942
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
+
value: 0.80625
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
+
value: 0.8070907195
|
24 |
+
- task:
|
25 |
+
name: TAG
|
26 |
+
type: token-classification
|
27 |
+
metrics:
|
28 |
+
- name: TAG (XPOS) Accuracy
|
29 |
+
type: accuracy
|
30 |
+
value: 0.9641646489
|
31 |
- task:
|
32 |
name: POS
|
33 |
type: token-classification
|
34 |
metrics:
|
35 |
+
- name: POS (UPOS) Accuracy
|
36 |
type: accuracy
|
37 |
+
value: 0.9641646489
|
38 |
- task:
|
39 |
+
name: MORPH
|
40 |
type: token-classification
|
41 |
metrics:
|
42 |
+
- name: Morph (UFeats) Accuracy
|
43 |
+
type: accuracy
|
44 |
+
value: 0.9505084746
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
- task:
|
46 |
+
name: LEMMA
|
47 |
type: token-classification
|
48 |
metrics:
|
49 |
+
- name: Lemma Accuracy
|
50 |
type: accuracy
|
51 |
+
value: 0.9481840194
|
52 |
+
- task:
|
53 |
+
name: UNLABELED_DEPENDENCIES
|
54 |
+
type: token-classification
|
55 |
+
metrics:
|
56 |
+
- name: Unlabeled Attachment Score (UAS)
|
57 |
+
type: f_score
|
58 |
+
value: 0.8130063132
|
59 |
- task:
|
60 |
name: LABELED_DEPENDENCIES
|
61 |
type: token-classification
|
62 |
metrics:
|
63 |
+
- name: Labeled Attachment Score (LAS)
|
64 |
+
type: f_score
|
65 |
+
value: 0.7723336499
|
66 |
+
- task:
|
67 |
+
name: SENTS
|
68 |
+
type: token-classification
|
69 |
+
metrics:
|
70 |
+
- name: Sentences F-Score
|
71 |
+
type: f_score
|
72 |
+
value: 0.9112107623
|
73 |
---
|
74 |
### Details: https://spacy.io/models/da#da_core_news_md
|
75 |
|
76 |
+
Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.
|
77 |
|
78 |
| Feature | Description |
|
79 |
| --- | --- |
|
80 |
| **Name** | `da_core_news_md` |
|
81 |
+
| **Version** | `3.3.0` |
|
82 |
+
| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
|
83 |
+
| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
|
84 |
+
| **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
|
85 |
| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
|
86 |
+
| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
|
87 |
| **License** | `CC BY-SA 4.0` |
|
88 |
| **Author** | [Explosion](https://explosion.ai) |
|
89 |
|
|
|
91 |
|
92 |
<details>
|
93 |
|
94 |
+
<summary>View label scheme (193 labels for 3 components)</summary>
|
95 |
|
96 |
| Component | Labels |
|
97 |
| --- | --- |
|
98 |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
|
99 |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `advmod:lmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `punct`, `xcomp` |
|
|
|
100 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
101 |
|
102 |
</details>
|
|
|
109 |
| `TOKEN_P` | 99.78 |
|
110 |
| `TOKEN_R` | 99.75 |
|
111 |
| `TOKEN_F` | 99.76 |
|
112 |
+
| `POS_ACC` | 96.42 |
|
113 |
+
| `MORPH_ACC` | 95.05 |
|
114 |
+
| `MORPH_MICRO_P` | 96.69 |
|
115 |
+
| `MORPH_MICRO_R` | 96.16 |
|
116 |
+
| `MORPH_MICRO_F` | 96.42 |
|
117 |
+
| `SENTS_P` | 92.20 |
|
118 |
+
| `SENTS_R` | 90.07 |
|
119 |
+
| `SENTS_F` | 91.12 |
|
120 |
+
| `DEP_UAS` | 81.30 |
|
121 |
+
| `DEP_LAS` | 77.23 |
|
122 |
+
| `LEMMA_ACC` | 94.82 |
|
123 |
+
| `TAG_ACC` | 96.42 |
|
124 |
+
| `ENTS_P` | 80.79 |
|
125 |
+
| `ENTS_R` | 80.62 |
|
126 |
+
| `ENTS_F` | 80.71 |
|
accuracy.json
CHANGED
@@ -3,51 +3,51 @@
|
|
3 |
"token_p": 0.9977732598,
|
4 |
"token_r": 0.9974835463,
|
5 |
"token_f": 0.997628382,
|
6 |
-
"pos_acc": 0.
|
7 |
-
"morph_acc": 0.
|
8 |
-
"morph_micro_p": 0.
|
9 |
-
"morph_micro_r": 0.
|
10 |
-
"morph_micro_f": 0.
|
11 |
"morph_per_feat": {
|
12 |
"Mood": {
|
13 |
-
"p": 0.
|
14 |
-
"r": 0.
|
15 |
-
"f": 0.
|
16 |
},
|
17 |
"Tense": {
|
18 |
-
"p": 0.
|
19 |
"r": 0.968373494,
|
20 |
-
"f": 0.
|
21 |
},
|
22 |
"VerbForm": {
|
23 |
-
"p": 0.
|
24 |
-
"r": 0.
|
25 |
-
"f": 0.
|
26 |
},
|
27 |
"Voice": {
|
28 |
-
"p": 0.
|
29 |
"r": 0.9768310912,
|
30 |
-
"f": 0.
|
31 |
},
|
32 |
"Definite": {
|
33 |
-
"p": 0.
|
34 |
-
"r": 0.
|
35 |
-
"f": 0.
|
36 |
},
|
37 |
"Gender": {
|
38 |
-
"p": 0.
|
39 |
"r": 0.9415088069,
|
40 |
-
"f": 0.
|
41 |
},
|
42 |
"Number": {
|
43 |
-
"p": 0.
|
44 |
-
"r": 0.
|
45 |
-
"f": 0.
|
46 |
},
|
47 |
"AdpType": {
|
48 |
-
"p": 0
|
49 |
"r": 0.9920424403,
|
50 |
-
"f": 0.
|
51 |
},
|
52 |
"PartType": {
|
53 |
"p": 1.0,
|
@@ -55,29 +55,29 @@
|
|
55 |
"f": 1.0
|
56 |
},
|
57 |
"Case": {
|
58 |
-
"p": 0.
|
59 |
-
"r": 0.
|
60 |
-
"f": 0.
|
61 |
},
|
62 |
"Person": {
|
63 |
-
"p": 0.
|
64 |
-
"r": 0.
|
65 |
-
"f": 0.
|
66 |
},
|
67 |
"PronType": {
|
68 |
-
"p": 0.
|
69 |
"r": 0.9827302632,
|
70 |
-
"f": 0.
|
71 |
},
|
72 |
"NumType": {
|
73 |
-
"p": 0.
|
74 |
-
"r": 0.
|
75 |
-
"f": 0.
|
76 |
},
|
77 |
"Degree": {
|
78 |
-
"p": 0.
|
79 |
-
"r": 0.
|
80 |
-
"f": 0.
|
81 |
},
|
82 |
"Reflex": {
|
83 |
"p": 1.0,
|
@@ -85,14 +85,14 @@
|
|
85 |
"f": 1.0
|
86 |
},
|
87 |
"Number[psor]": {
|
88 |
-
"p": 0.
|
89 |
-
"r":
|
90 |
-
"f": 0.
|
91 |
},
|
92 |
"Poss": {
|
93 |
-
"p": 0.
|
94 |
-
"r":
|
95 |
-
"f": 0.
|
96 |
},
|
97 |
"Foreign": {
|
98 |
"p": 0.6666666667,
|
@@ -115,141 +115,146 @@
|
|
115 |
"f": 0.8571428571
|
116 |
}
|
117 |
},
|
118 |
-
"sents_p": 0.
|
119 |
-
"sents_r": 0.
|
120 |
-
"sents_f": 0.
|
121 |
-
"dep_uas": 0.
|
122 |
-
"dep_las": 0.
|
123 |
"dep_las_per_type": {
|
124 |
"advmod": {
|
125 |
-
"p": 0.
|
126 |
-
"r": 0.
|
127 |
-
"f": 0.
|
128 |
},
|
129 |
"root": {
|
130 |
-
"p": 0.
|
131 |
-
"r": 0.
|
132 |
-
"f": 0.
|
133 |
},
|
134 |
"nsubj": {
|
135 |
-
"p": 0.
|
136 |
-
"r": 0.
|
137 |
-
"f": 0.
|
138 |
},
|
139 |
"case": {
|
140 |
-
"p": 0.
|
141 |
-
"r": 0.
|
142 |
-
"f": 0.
|
143 |
},
|
144 |
"obl": {
|
145 |
-
"p": 0.
|
146 |
-
"r": 0.
|
147 |
-
"f": 0.
|
148 |
},
|
149 |
"cc": {
|
150 |
-
"p": 0.
|
151 |
-
"r": 0.
|
152 |
-
"f": 0.
|
153 |
},
|
154 |
"conj": {
|
155 |
-
"p": 0.
|
156 |
-
"r": 0.
|
157 |
-
"f": 0.
|
158 |
},
|
159 |
"obj": {
|
160 |
-
"p": 0.
|
161 |
-
"r": 0.
|
162 |
-
"f": 0.
|
163 |
},
|
164 |
"aux": {
|
165 |
-
"p": 0.
|
166 |
-
"r": 0.
|
167 |
-
"f": 0.
|
168 |
},
|
169 |
"acl:relcl": {
|
170 |
-
"p": 0.
|
171 |
"r": 0.5783783784,
|
172 |
-
"f": 0.
|
173 |
},
|
174 |
"advmod:lmod": {
|
175 |
-
"p": 0.
|
176 |
-
"r": 0.
|
177 |
-
"f": 0.
|
178 |
},
|
179 |
"det": {
|
180 |
-
"p": 0.
|
181 |
-
"r": 0.
|
182 |
-
"f": 0.
|
183 |
},
|
184 |
"amod": {
|
185 |
-
"p": 0.
|
186 |
-
"r": 0.
|
187 |
-
"f": 0.
|
188 |
},
|
189 |
"nmod:poss": {
|
190 |
-
"p": 0.
|
191 |
-
"r": 0.
|
192 |
-
"f": 0.
|
193 |
},
|
194 |
"ccomp": {
|
195 |
-
"p": 0.
|
196 |
-
"r": 0.
|
197 |
-
"f": 0.
|
198 |
},
|
199 |
"nummod": {
|
200 |
-
"p": 0.
|
201 |
"r": 0.8583333333,
|
202 |
-
"f": 0.
|
203 |
},
|
204 |
"flat": {
|
205 |
-
"p": 0.
|
206 |
-
"r": 0.
|
207 |
-
"f": 0.
|
208 |
},
|
209 |
"compound:prt": {
|
210 |
-
"p": 0.
|
211 |
-
"r": 0.
|
212 |
-
"f": 0.
|
213 |
},
|
214 |
"advcl": {
|
215 |
-
"p": 0.
|
216 |
-
"r": 0.
|
217 |
-
"f": 0.
|
218 |
},
|
219 |
"mark": {
|
220 |
-
"p": 0.
|
221 |
-
"r": 0.
|
222 |
-
"f": 0.
|
223 |
},
|
224 |
"cop": {
|
225 |
-
"p": 0.
|
226 |
-
"r": 0.
|
227 |
-
"f": 0.
|
228 |
},
|
229 |
"dep": {
|
230 |
-
"p": 0.
|
231 |
"r": 0.2641509434,
|
232 |
-
"f": 0.
|
233 |
},
|
234 |
"nmod": {
|
235 |
-
"p": 0.
|
236 |
-
"r": 0.
|
237 |
-
"f": 0.
|
238 |
},
|
239 |
"iobj": {
|
240 |
-
"p": 0.
|
241 |
-
"r": 0.
|
242 |
-
"f": 0.
|
243 |
},
|
244 |
"xcomp": {
|
245 |
-
"p": 0.
|
246 |
"r": 0.3559322034,
|
247 |
-
"f": 0.
|
|
|
|
|
|
|
|
|
|
|
248 |
},
|
249 |
"list": {
|
250 |
-
"p": 0.
|
251 |
-
"r": 0.
|
252 |
-
"f": 0.
|
253 |
},
|
254 |
"vocative": {
|
255 |
"p": 0.0,
|
@@ -262,57 +267,52 @@
|
|
262 |
"f": 0.8461538462
|
263 |
},
|
264 |
"expl": {
|
265 |
-
"p": 0.
|
266 |
-
"r": 0.
|
267 |
-
"f": 0.
|
268 |
-
},
|
269 |
-
"appos": {
|
270 |
-
"p": 0.4146341463,
|
271 |
-
"r": 0.5151515152,
|
272 |
-
"f": 0.4594594595
|
273 |
},
|
274 |
"obl:tmod": {
|
275 |
-
"p": 0.
|
276 |
-
"r": 0.
|
277 |
-
"f": 0.
|
278 |
},
|
279 |
-
"
|
280 |
"p": 0.0,
|
281 |
"r": 0.0,
|
282 |
"f": 0.0
|
283 |
},
|
284 |
-
"
|
285 |
"p": 0.0,
|
286 |
"r": 0.0,
|
287 |
"f": 0.0
|
288 |
}
|
289 |
},
|
290 |
-
"
|
291 |
-
"
|
292 |
-
"ents_p": 0.
|
293 |
-
"ents_r": 0.
|
294 |
-
"ents_f": 0.
|
295 |
"ents_per_type": {
|
296 |
"PER": {
|
297 |
-
"p": 0.
|
298 |
"r": 0.8493975904,
|
299 |
-
"f": 0.
|
300 |
},
|
301 |
"ORG": {
|
302 |
-
"p": 0.
|
303 |
-
"r": 0.
|
304 |
-
"f": 0.
|
305 |
},
|
306 |
"MISC": {
|
307 |
-
"p": 0.
|
308 |
-
"r": 0.
|
309 |
-
"f": 0.
|
310 |
},
|
311 |
"LOC": {
|
312 |
-
"p": 0.
|
313 |
-
"r": 0.
|
314 |
-
"f": 0.
|
315 |
}
|
316 |
},
|
317 |
-
"speed":
|
318 |
}
|
|
|
3 |
"token_p": 0.9977732598,
|
4 |
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193 |
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195 |
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198 |
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|
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|
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|
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|
232 |
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|
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|
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|
238 |
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|
239 |
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|
240 |
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|
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|
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|
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|
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245 |
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|
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|
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|
250 |
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|
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|
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|
254 |
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|
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|
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|
258 |
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|
259 |
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|
260 |
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|
|
|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
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|
272 |
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|
|
|
|
|
|
|
|
|
|
|
273 |
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|
274 |
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275 |
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|
276 |
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|
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|
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|
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|
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|
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|
282 |
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|
283 |
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|
284 |
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"discourse": {
|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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"lemma_acc": 0.9481840194,
|
291 |
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|
292 |
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|
293 |
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|
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|
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|
296 |
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|
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|
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|
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|
300 |
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|
301 |
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|
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|
303 |
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|
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|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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"f": 0.8828828829
|
315 |
}
|
316 |
},
|
317 |
+
"speed": 11453.5916881723
|
318 |
}
|
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 = "da"
|
13 |
-
pipeline = ["tok2vec","morphologizer","parser","
|
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 = "
|
30 |
-
|
31 |
-
|
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.
|
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,
|
74 |
include_static_vectors = true
|
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.
|
112 |
nO = null
|
|
|
113 |
|
114 |
[components.senter.model.tok2vec]
|
115 |
@architectures = "spacy.Tok2Vec.v2"
|
@@ -138,7 +151,7 @@ factory = "tok2vec"
|
|
138 |
@architectures = "spacy.MultiHashEmbed.v2"
|
139 |
width = ${components.tok2vec.model.encode:width}
|
140 |
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
141 |
-
rows = [5000,
|
142 |
include_static_vectors = true
|
143 |
|
144 |
[components.tok2vec.model.encode]
|
@@ -175,7 +188,7 @@ dropout = 0.1
|
|
175 |
accumulate_gradient = 1
|
176 |
patience = 5000
|
177 |
max_epochs = 0
|
178 |
-
max_steps =
|
179 |
eval_frequency = 1000
|
180 |
frozen_components = []
|
181 |
before_to_disk = null
|
@@ -210,17 +223,17 @@ eps = 0.00000001
|
|
210 |
learn_rate = 0.001
|
211 |
|
212 |
[training.score_weights]
|
213 |
-
pos_acc = 0.
|
214 |
-
morph_acc = 0.
|
215 |
morph_per_feat = null
|
216 |
dep_uas = 0.0
|
217 |
-
dep_las = 0.
|
218 |
dep_las_per_type = null
|
219 |
sents_p = null
|
220 |
sents_r = null
|
221 |
-
sents_f = 0.
|
222 |
-
lemma_acc = 0.
|
223 |
-
ents_f = 0.
|
224 |
ents_p = 0.0
|
225 |
ents_r = 0.0
|
226 |
ents_per_type = null
|
@@ -237,6 +250,13 @@ after_init = null
|
|
237 |
|
238 |
[initialize.components]
|
239 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
240 |
[initialize.components.morphologizer]
|
241 |
|
242 |
[initialize.components.morphologizer.labels]
|
|
|
10 |
|
11 |
[nlp]
|
12 |
lang = "da"
|
13 |
+
pipeline = ["tok2vec","morphologizer","parser","lemmatizer","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 = true
|
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"
|
|
|
151 |
@architectures = "spacy.MultiHashEmbed.v2"
|
152 |
width = ${components.tok2vec.model.encode:width}
|
153 |
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
154 |
+
rows = [5000,1000,2500,2500,50]
|
155 |
include_static_vectors = true
|
156 |
|
157 |
[components.tok2vec.model.encode]
|
|
|
188 |
accumulate_gradient = 1
|
189 |
patience = 5000
|
190 |
max_epochs = 0
|
191 |
+
max_steps = 100000
|
192 |
eval_frequency = 1000
|
193 |
frozen_components = []
|
194 |
before_to_disk = null
|
|
|
223 |
learn_rate = 0.001
|
224 |
|
225 |
[training.score_weights]
|
226 |
+
pos_acc = 0.14
|
227 |
+
morph_acc = 0.14
|
228 |
morph_per_feat = null
|
229 |
dep_uas = 0.0
|
230 |
+
dep_las = 0.29
|
231 |
dep_las_per_type = null
|
232 |
sents_p = null
|
233 |
sents_r = null
|
234 |
+
sents_f = 0.04
|
235 |
+
lemma_acc = 0.1
|
236 |
+
ents_f = 0.29
|
237 |
ents_p = 0.0
|
238 |
ents_r = 0.0
|
239 |
ents_per_type = null
|
|
|
250 |
|
251 |
[initialize.components]
|
252 |
|
253 |
+
[initialize.components.lemmatizer]
|
254 |
+
|
255 |
+
[initialize.components.lemmatizer.labels]
|
256 |
+
@readers = "spacy.read_labels.v1"
|
257 |
+
path = "corpus/labels/trainable_lemmatizer.json"
|
258 |
+
require = false
|
259 |
+
|
260 |
[initialize.components.morphologizer]
|
261 |
|
262 |
[initialize.components.morphologizer.labels]
|
da_core_news_md-any-py3-none-any.whl
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
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|
1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:25dcaba4499ac19b4f1d23884cc5896401eb1e2c896c6a49c10a6f8fe6190398
|
3 |
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size 42193668
|
lemmatizer/cfg
ADDED
@@ -0,0 +1,457 @@
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|
lemmatizer/{lookups/lookups.bin → model}
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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3 |
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size 176206
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lemmatizer/trees
ADDED
Binary file (89.9 kB). View file
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|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"core_news_md",
|
4 |
-
"version":"3.
|
5 |
-
"description":"Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler
|
6 |
"author":"Explosion",
|
7 |
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|
8 |
"url":"https://explosion.ai",
|
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|
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|
11 |
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|
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|
@@ -212,15 +212,8 @@
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|
212 |
"punct",
|
213 |
"xcomp"
|
214 |
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|
215 |
-
"senter":[
|
216 |
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"I",
|
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"S"
|
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|
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|
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|
221 |
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222 |
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"lemmatizer":[
|
223 |
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|
224 |
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|
225 |
"ner":[
|
226 |
"LOC",
|
@@ -233,17 +226,17 @@
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|
233 |
"tok2vec",
|
234 |
"morphologizer",
|
235 |
"parser",
|
236 |
-
"attribute_ruler",
|
237 |
"lemmatizer",
|
|
|
238 |
"ner"
|
239 |
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|
240 |
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|
241 |
"tok2vec",
|
242 |
"morphologizer",
|
243 |
"parser",
|
|
|
244 |
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|
245 |
"attribute_ruler",
|
246 |
-
"lemmatizer",
|
247 |
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|
248 |
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|
@@ -254,51 +247,51 @@
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@@ -336,14 +329,14 @@
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|
@@ -513,59 +511,54 @@
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|
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{
|
@@ -580,12 +573,6 @@
|
|
580 |
"license":"CC BY-SA 4.0",
|
581 |
"author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
|
582 |
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|
583 |
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{
|
584 |
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"name":"Lemmatization Lists",
|
585 |
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|
586 |
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|
587 |
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"author":"Michal M\u011bchura"
|
588 |
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},
|
589 |
{
|
590 |
"name":"Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)",
|
591 |
"url":"https://spacy.io",
|
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"core_news_md",
|
4 |
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"version":"3.3.0",
|
5 |
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"description":"Danish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
|
6 |
"author":"Explosion",
|
7 |
"email":"contact@explosion.ai",
|
8 |
"url":"https://explosion.ai",
|
9 |
"license":"CC BY-SA 4.0",
|
10 |
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"spacy_version":">=3.3.0.dev0,<3.4.0",
|
11 |
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"spacy_git_version":"849bef2de",
|
12 |
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|
13 |
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|
14 |
"vectors":20000,
|
|
|
212 |
"punct",
|
213 |
"xcomp"
|
214 |
],
|
|
|
|
|
|
|
|
|
215 |
"attribute_ruler":[
|
216 |
|
|
|
|
|
|
|
217 |
],
|
218 |
"ner":[
|
219 |
"LOC",
|
|
|
226 |
"tok2vec",
|
227 |
"morphologizer",
|
228 |
"parser",
|
|
|
229 |
"lemmatizer",
|
230 |
+
"attribute_ruler",
|
231 |
"ner"
|
232 |
],
|
233 |
"components":[
|
234 |
"tok2vec",
|
235 |
"morphologizer",
|
236 |
"parser",
|
237 |
+
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