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Update spaCy pipeline

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- # Lemmatization Lists
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-
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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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- ```
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- unenforceable, that must not affect the validity or enforceability of
528
- the remainder of the terms and conditions of this License and each
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- remaining provision of this License shall be valid and enforced to the
530
- fullest extent permitted by law.
531
-
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- 10.2 This License is the entire agreement between the parties with
533
- respect to the rights granted here over the Database. It replaces any
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- earlier understandings, agreements or representations with respect to
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- the Database.
536
-
537
- 10.3 If You are in breach of the terms of this License, You will not be
538
- entitled to rely on the terms of this License or to complain of any
539
- breach by the Licensor.
540
-
541
- 10.4 Choice of law. This License takes effect in and will be governed by
542
- the laws of the relevant jurisdiction in which the License terms are
543
- sought to be enforced. If the standard suite of rights granted under
544
- applicable copyright law and Database Rights in the relevant
545
- jurisdiction includes additional rights not granted under this License,
546
- these additional rights are granted in this License in order to meet the
547
- terms of this License.```
548
-
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-
550
-
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-
552
  # UD Romanian RRT v2.8
553
 
554
  * Author: Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  # UD Romanian RRT v2.8
2
 
3
  * Author: Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin
README.md CHANGED
@@ -14,61 +14,76 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7550713749
18
  - name: NER Recall
19
  type: recall
20
- value: 0.7721859393
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.7635327635
 
 
 
 
 
 
 
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
- - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9664291788
31
  - task:
32
- name: SENTER
33
  type: token-classification
34
  metrics:
35
- - name: SENTER Precision
36
- type: precision
37
- value: 0.954787234
38
- - name: SENTER Recall
39
- type: recall
40
- value: 0.954787234
41
- - name: SENTER F Score
42
- type: f_score
43
- value: 0.954787234
44
  - task:
45
- name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
- - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
- value: 0.8897462438
 
 
 
 
 
 
 
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
- - name: Labeled Dependencies Accuracy
56
- type: accuracy
57
- value: 0.8897462438
 
 
 
 
 
 
 
58
  ---
59
  ### Details: https://spacy.io/models/ro#ro_core_news_lg
60
 
61
- Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
62
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `ro_core_news_lg` |
66
- | **Version** | `3.2.0` |
67
- | **spaCy** | `>=3.2.0,<3.3.0` |
68
- | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
- | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
71
- | **Sources** | [Lemmatization Lists](https://github.com/michmech/lemmatization-lists/) (Michal Měchura)<br />[UD Romanian RRT v2.8](https://github.com/UniversalDependencies/UD_Romanian-RRT) (Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin)<br />[RONEC - the Romanian Named Entity Corpus (ca9ce460)](https://github.com/dumitrescustefan/ronec) (Dumitrescu, Stefan Daniel; Avram, Andrei-Marius; Morogan, Luciana; Toma; Stefan)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
72
  | **License** | `CC BY-SA 4.0` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
@@ -76,13 +91,12 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
76
 
77
  <details>
78
 
79
- <summary>View label scheme (541 labels for 4 components)</summary>
80
 
81
  | Component | Labels |
82
  | --- | --- |
83
  | **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `Afp-srn`, `Afpf--n`, `Afpfp-n`, `Afpfp-ny`, `Afpfpoy`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpm--n`, `Afpmp-n`, `Afpmpoy`, `Afpmpry`, `Afpms-n`, `Afpmsoy`, `Afpmsry`, `Afsfp-n`, `Afsfsrn`, `BULLET`, `COLON`, `COMMA`, `Ccssp`, `Ccsspy`, `Crssp`, `Csssp`, `Cssspy`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fpr--y`, `Dd3fso`, `Dd3fso---e`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3fsr--yo`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso---e`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1ms`, `Dh3fp`, `Dh3fso`, `Dh3fsr`, `Dh3mp`, `Dh3ms`, `Di3`, `Di3-----y`, `Di3--r---e`, `Di3-po`, `Di3-po---e`, `Di3-sr`, `Di3-sr---e`, `Di3-sr--y`, `Di3fp`, `Di3fpr`, `Di3fpr---e`, `Di3fso`, `Di3fso---e`, `Di3fsr`, `Di3fsr---e`, `Di3mp`, `Di3mpr`, `Di3mpr---e`, `Di3ms`, `Di3ms----e`, `Di3mso---e`, `Di3msr`, `Di3msr---e`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1fsrs-y`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds1msrs-y`, `Ds2---s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3---p`, `Ds3---s`, `Ds3---sy`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r---e`, `Dw3-po---e`, `Dw3fpr`, `Dw3fso---e`, `Dw3fsr`, `Dw3mpr`, `Dw3mso---e`, `Dw3msr`, `Dz3fsr---e`, `Dz3mso---e`, `Dz3msr---e`, `EQUAL`, `EXCL`, `EXCLHELLIP`, `GE`, `GT`, `HELLIP`, `I`, `LCURL`, `LPAR`, `LSQR`, `LT`, `M`, `Mc-p-d`, `Mc-p-l`, `Mc-s-b`, `Mc-s-d`, `Mc-s-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrl`, `Mcfsrln`, `Mcfsrly`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `Mcmsrln`, `Mcmsrly`, `Mffprln`, `Mffsrln`, `Mlfpo`, `Mlfpr`, `Mlmpr`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofp-ln`, `Mofpoly`, `Mofprly`, `Mofs-l`, `Mofsoln`, `Mofsoly`, `Mofsrln`, `Mofsrly`, `Mompoly`, `Momprly`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Nc`, `Nc---n`, `Ncf--n`, `Ncfp-n`, `Ncfpoy`, `Ncfpry`, `Ncfs-n`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsryy`, `Ncfsvy`, `Ncm--n`, `Ncmp-n`, `Ncmpoy`, `Ncmpry`, `Ncms-n`, `Ncms-ny`, `Ncms-y`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsryy`, `Ncmsvn`, `Ncmsvy`, `Np`, `Npfson`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npmpoy`, `Npmpry`, `Npms-n`, `Npmsoy`, `Npmsry`, `PERCENT`, `PERIOD`, `PLUS`, `PLUSMINUS`, `Pd3-po`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mpr--y`, `Pd3mso`, `Pd3msr`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpr`, `Pi3mso`, `Pi3msr`, `Pi3msr--y`, `Pp1-pa--------w`, `Pp1-pa--y-----w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pd--y-----w`, `Pp1-pr--------s`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sa--y-----w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sd--y-----w`, `Pp1-sn--------s`, `Pp2-----------s`, `Pp2-pa--------w`, `Pp2-pa--y-----w`, `Pp2-pd--------w`, `Pp2-pd--y-----w`, `Pp2-pr--------s`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sa--y-----w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-sd--y-----w`, `Pp2-sn--------s`, `Pp2-so--------s`, `Pp2-sr--------s`, `Pp3-p---------s`, `Pp3-pd--------w`, `Pp3-pd--y-----w`, `Pp3-po--------s`, `Pp3-sd--------w`, `Pp3-sd--y-----w`, `Pp3-so--------s`, `Pp3fpa--------w`, `Pp3fpa--y-----w`, `Pp3fpr--------s`, `Pp3fs---------s`, `Pp3fsa--------w`, `Pp3fsa--y-----w`, `Pp3fso--------s`, `Pp3fsr--------s`, `Pp3fsr--y-----s`, `Pp3mpa--------w`, `Pp3mpa--y-----w`, `Pp3mpr--------s`, `Pp3ms---------s`, `Pp3msa--------w`, `Pp3msa--y-----w`, `Pp3mso--------s`, `Pp3msr--------s`, `Pp3msr--y-----s`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps3---p`, `Ps3---s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-so`, `Pw3fpr`, `Pw3fso`, `Pw3mpr`, `Pw3mso`, `Px3--a--------s`, `Px3--a--------w`, `Px3--a--y-----w`, `Px3--d--------w`, `Px3--d--y-----w`, `Pz3-sr`, `Pz3fsr`, `QUEST`, `QUOT`, `Qf`, `Qn`, `Qs`, `Qs-y`, `Qz`, `Qz-y`, `RCURL`, `RPAR`, `RSQR`, `Rc`, `Rgp`, `Rgpy`, `Rgs`, `Rp`, `Rw`, `Rw-y`, `Rz`, `SCOLON`, `SLASH`, `STAR`, `Sp`, `Spsa`, `Spsay`, `Spsd`, `Spsg`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffpoy`, `Tffpry`, `Tffs-y`, `Tfmpoy`, `Tfms-y`, `Tfmsoy`, `Tfmsry`, `Ti-po`, `Tifp-y`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfp`, `Tsfs`, `Tsmp`, `Tsms`, `UNDERSC`, `Va--1`, `Va--1-----y`, `Va--1p`, `Va--1s`, `Va--1s----y`, `Va--2p`, `Va--2p----y`, `Va--2s`, `Va--2s----y`, `Va--3`, `Va--3-----y`, `Va--3p`, `Va--3p----y`, `Va--3s`, `Va--3s----y`, `Vag`, `Vag-------y`, `Vaii1`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3p`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3p`, `Vaip3p----y`, `Vaip3s`, `Vaip3s----y`, `Vais3p`, `Vais3s`, `Vam-2s`, `Vanp`, `Vap--sm`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vmg`, `Vmg-------y`, `Vmii1`, `Vmii1-----y`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3p----y`, `Vmii3s`, `Vmii3s----y`, `Vmil1`, `Vmil1p`, `Vmil2s`, `Vmil3p`, `Vmil3p----y`, `Vmil3s`, `Vmil3s----y`, `Vmip1p`, `Vmip1p----y`, `Vmip1s`, `Vmip1s----y`, `Vmip2p`, `Vmip2s`, `Vmip2s----y`, `Vmip3`, `Vmip3-----y`, `Vmip3p`, `Vmip3s`, `Vmip3s----y`, `Vmis1p`, `Vmis1s`, `Vmis3p`, `Vmis3p----y`, `Vmis3s`, `Vmis3s----y`, `Vmm-2p`, `Vmm-2s`, `Vmnp`, `Vmnp------y`, `Vmp--pf`, `Vmp--pm`, `Vmp--sf`, `Vmp--sm`, `Vmp--sm---y`, `Vmsp1p`, `Vmsp2p`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp,Yn`, `Yp-sr`, `Yr` |
84
  | **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `goeswith`, `iobj`, `mark`, `nmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:pmod`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
85
- | **`senter`** | `I`, `S` |
86
  | **`ner`** | `DATETIME`, `EVENT`, `FACILITY`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NAT_REL_POL`, `NUMERIC_VALUE`, `ORDINAL`, `ORGANIZATION`, `PERIOD`, `PERSON`, `PRODUCT`, `QUANTITY`, `WORK_OF_ART` |
87
 
88
  </details>
@@ -95,18 +109,18 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
95
  | `TOKEN_P` | 99.67 |
96
  | `TOKEN_R` | 99.57 |
97
  | `TOKEN_F` | 99.59 |
98
- | `TAG_ACC` | 96.64 |
99
- | `SENTS_P` | 95.48 |
100
- | `SENTS_R` | 95.48 |
101
- | `SENTS_F` | 95.48 |
102
- | `DEP_UAS` | 88.97 |
103
- | `DEP_LAS` | 83.90 |
104
- | `POS_ACC` | 94.06 |
105
- | `MORPH_ACC` | 95.11 |
106
- | `MORPH_MICRO_P` | 98.96 |
107
- | `MORPH_MICRO_R` | 95.82 |
108
- | `MORPH_MICRO_F` | 97.07 |
109
- | `LEMMA_ACC` | 81.83 |
110
- | `ENTS_P` | 75.51 |
111
- | `ENTS_R` | 77.22 |
112
- | `ENTS_F` | 76.35 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7552238806
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.7775643488
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.766231308
24
+ - task:
25
+ name: TAG
26
+ type: token-classification
27
+ metrics:
28
+ - name: TAG (XPOS) Accuracy
29
+ type: accuracy
30
+ value: 0.9667810127
31
  - task:
32
  name: POS
33
  type: token-classification
34
  metrics:
35
+ - name: POS (UPOS) Accuracy
36
  type: accuracy
37
+ value: 0.9403951881
38
  - task:
39
+ name: MORPH
40
  type: token-classification
41
  metrics:
42
+ - name: Morph (UFeats) Accuracy
43
+ type: accuracy
44
+ value: 0.9512416806
 
 
 
 
 
 
45
  - task:
46
+ name: LEMMA
47
  type: token-classification
48
  metrics:
49
+ - name: Lemma Accuracy
50
  type: accuracy
51
+ value: 0.9585129152
52
+ - task:
53
+ name: UNLABELED_DEPENDENCIES
54
+ type: token-classification
55
+ metrics:
56
+ - name: Unlabeled Attachment Score (UAS)
57
+ type: f_score
58
+ value: 0.8881779116
59
  - task:
60
  name: LABELED_DEPENDENCIES
61
  type: token-classification
62
  metrics:
63
+ - name: Labeled Attachment Score (LAS)
64
+ type: f_score
65
+ value: 0.8359210815
66
+ - task:
67
+ name: SENTS
68
+ type: token-classification
69
+ metrics:
70
+ - name: Sentences F-Score
71
+ type: f_score
72
+ value: 0.9699398798
73
  ---
74
  ### Details: https://spacy.io/models/ro#ro_core_news_lg
75
 
76
+ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.
77
 
78
  | Feature | Description |
79
  | --- | --- |
80
  | **Name** | `ro_core_news_lg` |
81
+ | **Version** | `3.3.0` |
82
+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
83
+ | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
84
+ | **Components** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
85
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
86
+ | **Sources** | [UD Romanian RRT v2.8](https://github.com/UniversalDependencies/UD_Romanian-RRT) (Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin)<br />[RONEC - the Romanian Named Entity Corpus (ca9ce460)](https://github.com/dumitrescustefan/ronec) (Dumitrescu, Stefan Daniel; Avram, Andrei-Marius; Morogan, Luciana; Toma; Stefan)<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 (539 labels for 3 components)</summary>
95
 
96
  | Component | Labels |
97
  | --- | --- |
98
  | **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `Afp-srn`, `Afpf--n`, `Afpfp-n`, `Afpfp-ny`, `Afpfpoy`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpm--n`, `Afpmp-n`, `Afpmpoy`, `Afpmpry`, `Afpms-n`, `Afpmsoy`, `Afpmsry`, `Afsfp-n`, `Afsfsrn`, `BULLET`, `COLON`, `COMMA`, `Ccssp`, `Ccsspy`, `Crssp`, `Csssp`, `Cssspy`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fpr--y`, `Dd3fso`, `Dd3fso---e`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3fsr--yo`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso---e`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1ms`, `Dh3fp`, `Dh3fso`, `Dh3fsr`, `Dh3mp`, `Dh3ms`, `Di3`, `Di3-----y`, `Di3--r---e`, `Di3-po`, `Di3-po---e`, `Di3-sr`, `Di3-sr---e`, `Di3-sr--y`, `Di3fp`, `Di3fpr`, `Di3fpr---e`, `Di3fso`, `Di3fso---e`, `Di3fsr`, `Di3fsr---e`, `Di3mp`, `Di3mpr`, `Di3mpr---e`, `Di3ms`, `Di3ms----e`, `Di3mso---e`, `Di3msr`, `Di3msr---e`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1fsrs-y`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds1msrs-y`, `Ds2---s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3---p`, `Ds3---s`, `Ds3---sy`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r---e`, `Dw3-po---e`, `Dw3fpr`, `Dw3fso---e`, `Dw3fsr`, `Dw3mpr`, `Dw3mso---e`, `Dw3msr`, `Dz3fsr---e`, `Dz3mso---e`, `Dz3msr---e`, `EQUAL`, `EXCL`, `EXCLHELLIP`, `GE`, `GT`, `HELLIP`, `I`, `LCURL`, `LPAR`, `LSQR`, `LT`, `M`, `Mc-p-d`, `Mc-p-l`, `Mc-s-b`, `Mc-s-d`, `Mc-s-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrl`, `Mcfsrln`, `Mcfsrly`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `Mcmsrln`, `Mcmsrly`, `Mffprln`, `Mffsrln`, `Mlfpo`, `Mlfpr`, `Mlmpr`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofp-ln`, `Mofpoly`, `Mofprly`, `Mofs-l`, `Mofsoln`, `Mofsoly`, `Mofsrln`, `Mofsrly`, `Mompoly`, `Momprly`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Nc`, `Nc---n`, `Ncf--n`, `Ncfp-n`, `Ncfpoy`, `Ncfpry`, `Ncfs-n`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsryy`, `Ncfsvy`, `Ncm--n`, `Ncmp-n`, `Ncmpoy`, `Ncmpry`, `Ncms-n`, `Ncms-ny`, `Ncms-y`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsryy`, `Ncmsvn`, `Ncmsvy`, `Np`, `Npfson`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npmpoy`, `Npmpry`, `Npms-n`, `Npmsoy`, `Npmsry`, `PERCENT`, `PERIOD`, `PLUS`, `PLUSMINUS`, `Pd3-po`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mpr--y`, `Pd3mso`, `Pd3msr`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpr`, `Pi3mso`, `Pi3msr`, `Pi3msr--y`, `Pp1-pa--------w`, `Pp1-pa--y-----w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pd--y-----w`, `Pp1-pr--------s`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sa--y-----w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sd--y-----w`, `Pp1-sn--------s`, `Pp2-----------s`, `Pp2-pa--------w`, `Pp2-pa--y-----w`, `Pp2-pd--------w`, `Pp2-pd--y-----w`, `Pp2-pr--------s`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sa--y-----w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-sd--y-----w`, `Pp2-sn--------s`, `Pp2-so--------s`, `Pp2-sr--------s`, `Pp3-p---------s`, `Pp3-pd--------w`, `Pp3-pd--y-----w`, `Pp3-po--------s`, `Pp3-sd--------w`, `Pp3-sd--y-----w`, `Pp3-so--------s`, `Pp3fpa--------w`, `Pp3fpa--y-----w`, `Pp3fpr--------s`, `Pp3fs---------s`, `Pp3fsa--------w`, `Pp3fsa--y-----w`, `Pp3fso--------s`, `Pp3fsr--------s`, `Pp3fsr--y-----s`, `Pp3mpa--------w`, `Pp3mpa--y-----w`, `Pp3mpr--------s`, `Pp3ms---------s`, `Pp3msa--------w`, `Pp3msa--y-----w`, `Pp3mso--------s`, `Pp3msr--------s`, `Pp3msr--y-----s`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps3---p`, `Ps3---s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-so`, `Pw3fpr`, `Pw3fso`, `Pw3mpr`, `Pw3mso`, `Px3--a--------s`, `Px3--a--------w`, `Px3--a--y-----w`, `Px3--d--------w`, `Px3--d--y-----w`, `Pz3-sr`, `Pz3fsr`, `QUEST`, `QUOT`, `Qf`, `Qn`, `Qs`, `Qs-y`, `Qz`, `Qz-y`, `RCURL`, `RPAR`, `RSQR`, `Rc`, `Rgp`, `Rgpy`, `Rgs`, `Rp`, `Rw`, `Rw-y`, `Rz`, `SCOLON`, `SLASH`, `STAR`, `Sp`, `Spsa`, `Spsay`, `Spsd`, `Spsg`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffpoy`, `Tffpry`, `Tffs-y`, `Tfmpoy`, `Tfms-y`, `Tfmsoy`, `Tfmsry`, `Ti-po`, `Tifp-y`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfp`, `Tsfs`, `Tsmp`, `Tsms`, `UNDERSC`, `Va--1`, `Va--1-----y`, `Va--1p`, `Va--1s`, `Va--1s----y`, `Va--2p`, `Va--2p----y`, `Va--2s`, `Va--2s----y`, `Va--3`, `Va--3-----y`, `Va--3p`, `Va--3p----y`, `Va--3s`, `Va--3s----y`, `Vag`, `Vag-------y`, `Vaii1`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3p`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3p`, `Vaip3p----y`, `Vaip3s`, `Vaip3s----y`, `Vais3p`, `Vais3s`, `Vam-2s`, `Vanp`, `Vap--sm`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vmg`, `Vmg-------y`, `Vmii1`, `Vmii1-----y`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3p----y`, `Vmii3s`, `Vmii3s----y`, `Vmil1`, `Vmil1p`, `Vmil2s`, `Vmil3p`, `Vmil3p----y`, `Vmil3s`, `Vmil3s----y`, `Vmip1p`, `Vmip1p----y`, `Vmip1s`, `Vmip1s----y`, `Vmip2p`, `Vmip2s`, `Vmip2s----y`, `Vmip3`, `Vmip3-----y`, `Vmip3p`, `Vmip3s`, `Vmip3s----y`, `Vmis1p`, `Vmis1s`, `Vmis3p`, `Vmis3p----y`, `Vmis3s`, `Vmis3s----y`, `Vmm-2p`, `Vmm-2s`, `Vmnp`, `Vmnp------y`, `Vmp--pf`, `Vmp--pm`, `Vmp--sf`, `Vmp--sm`, `Vmp--sm---y`, `Vmsp1p`, `Vmsp2p`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp,Yn`, `Yp-sr`, `Yr` |
99
  | **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `goeswith`, `iobj`, `mark`, `nmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:pmod`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
 
100
  | **`ner`** | `DATETIME`, `EVENT`, `FACILITY`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NAT_REL_POL`, `NUMERIC_VALUE`, `ORDINAL`, `ORGANIZATION`, `PERIOD`, `PERSON`, `PRODUCT`, `QUANTITY`, `WORK_OF_ART` |
101
 
102
  </details>
 
109
  | `TOKEN_P` | 99.67 |
110
  | `TOKEN_R` | 99.57 |
111
  | `TOKEN_F` | 99.59 |
112
+ | `TAG_ACC` | 96.68 |
113
+ | `SENTS_P` | 97.45 |
114
+ | `SENTS_R` | 96.54 |
115
+ | `SENTS_F` | 96.99 |
116
+ | `DEP_UAS` | 88.82 |
117
+ | `DEP_LAS` | 83.59 |
118
+ | `LEMMA_ACC` | 95.85 |
119
+ | `POS_ACC` | 94.04 |
120
+ | `MORPH_ACC` | 95.12 |
121
+ | `MORPH_MICRO_P` | 98.85 |
122
+ | `MORPH_MICRO_R` | 95.86 |
123
+ | `MORPH_MICRO_F` | 97.12 |
124
+ | `ENTS_P` | 75.52 |
125
+ | `ENTS_R` | 77.76 |
126
+ | `ENTS_F` | 76.62 |
accuracy.json CHANGED
@@ -3,127 +3,127 @@
3
  "token_p": 0.9967350492,
4
  "token_r": 0.9957244934,
5
  "token_f": 0.9959492157,
6
- "tag_acc": 0.9664291788,
7
- "sents_p": 0.954787234,
8
- "sents_r": 0.954787234,
9
- "sents_f": 0.954787234,
10
- "dep_uas": 0.8897462438,
11
- "dep_las": 0.8389686971,
12
  "dep_las_per_type": {
13
  "root": {
14
- "p": 0.8786231884,
15
  "r": 0.9133709981,
16
- "f": 0.8956602031
17
  },
18
  "mark": {
19
- "p": 0.9288389513,
20
- "r": 0.9358490566,
21
- "f": 0.9323308271
22
  },
23
  "case": {
24
- "p": 0.9638554217,
25
- "r": 0.959880015,
26
- "f": 0.9618636107
27
  },
28
  "nmod:tmod": {
29
- "p": 0.6842105263,
30
- "r": 0.1092436975,
31
- "f": 0.1884057971
32
  },
33
  "amod": {
34
- "p": 0.9172297297,
35
- "r": 0.9250425894,
36
- "f": 0.9211195929
37
  },
38
  "nsubj": {
39
- "p": 0.8803986711,
40
- "r": 0.8372827804,
41
- "f": 0.8582995951
42
  },
43
  "nmod": {
44
- "p": 0.8218838527,
45
- "r": 0.8286326312,
46
- "f": 0.8252444444
47
  },
48
  "aux": {
49
- "p": 0.9867924528,
50
- "r": 0.9561243144,
51
- "f": 0.9712163417
52
  },
53
  "advcl": {
54
- "p": 0.5862068966,
55
- "r": 0.6390977444,
56
- "f": 0.6115107914
57
  },
58
  "obj": {
59
- "p": 0.8326180258,
60
- "r": 0.896073903,
61
- "f": 0.8631813126
62
  },
63
  "det": {
64
- "p": 0.9575688073,
65
- "r": 0.9456398641,
66
- "f": 0.9515669516
67
  },
68
  "cc": {
69
- "p": 0.9340425532,
70
- "r": 0.9164926931,
71
- "f": 0.9251844046
72
  },
73
  "conj": {
74
- "p": 0.6115288221,
75
- "r": 0.5654692932,
76
- "f": 0.5875978326
77
  },
78
  "nummod": {
79
- "p": 0.887675507,
80
- "r": 0.8835403727,
81
- "f": 0.8856031128
82
  },
83
  "acl": {
84
- "p": 0.8063583815,
85
- "r": 0.7209302326,
86
- "f": 0.761255116
87
  },
88
  "advmod": {
89
- "p": 0.8117048346,
90
- "r": 0.8416886544,
91
- "f": 0.8264248705
92
  },
93
  "obl": {
94
- "p": 0.6821052632,
95
- "r": 0.8223350254,
96
- "f": 0.7456846951
97
  },
98
  "expl:pass": {
99
- "p": 0.8085106383,
100
- "r": 0.7037037037,
101
- "f": 0.7524752475
102
  },
103
  "nsubj:pass": {
104
- "p": 0.8,
105
- "r": 0.756097561,
106
- "f": 0.7774294671
107
  },
108
  "fixed": {
109
- "p": 0.9,
110
- "r": 0.8562367865,
111
- "f": 0.8775731311
112
  },
113
  "appos": {
114
- "p": 0.4956896552,
115
- "r": 0.4389312977,
116
- "f": 0.4655870445
117
  },
118
  "parataxis": {
119
- "p": 0.1627906977,
120
- "r": 0.2,
121
- "f": 0.1794871795
122
  },
123
  "aux:pass": {
124
- "p": 0.9125,
125
- "r": 0.9733333333,
126
- "f": 0.9419354839
127
  },
128
  "nmod:agent": {
129
  "p": 0.0,
@@ -131,9 +131,9 @@
131
  "f": 0.0
132
  },
133
  "ccomp": {
134
- "p": 0.8759689922,
135
- "r": 0.8759689922,
136
- "f": 0.8759689922
137
  },
138
  "nmod:pmod": {
139
  "p": 0.0,
@@ -141,64 +141,74 @@
141
  "f": 0.0
142
  },
143
  "iobj": {
144
- "p": 0.8157894737,
145
- "r": 0.7654320988,
146
- "f": 0.7898089172
147
  },
148
  "flat": {
149
- "p": 0.7557251908,
150
- "r": 0.7815789474,
151
- "f": 0.7684346701
152
  },
153
  "cop": {
154
- "p": 0.8524590164,
155
- "r": 0.8387096774,
156
- "f": 0.8455284553
157
  },
158
  "csubj": {
159
- "p": 0.8235294118,
160
- "r": 0.6666666667,
161
- "f": 0.7368421053
 
 
 
 
 
162
  },
163
  "obl:agent": {
164
  "p": 0.0,
165
  "r": 0.0,
166
  "f": 0.0
167
  },
168
- "dep": {
169
  "p": 0.0,
170
  "r": 0.0,
171
  "f": 0.0
172
  },
173
  "expl:pv": {
174
- "p": 0.7564102564,
175
- "r": 0.8550724638,
176
- "f": 0.8027210884
177
  },
178
  "expl": {
179
- "p": 0.6875,
180
  "r": 0.8148148148,
181
- "f": 0.7457627119
182
  },
183
- "obl:pmod": {
184
  "p": 0.0,
185
  "r": 0.0,
186
  "f": 0.0
187
  },
188
  "expl:poss": {
189
- "p": 0.9655172414,
190
- "r": 0.9032258065,
191
- "f": 0.9333333333
192
  },
193
  "goeswith": {
194
  "p": 0.0,
195
  "r": 0.0,
196
  "f": 0.0
197
  },
 
 
 
 
 
198
  "xcomp": {
199
- "p": 0.5806451613,
200
- "r": 0.6666666667,
201
- "f": 0.6206896552
202
  },
203
  "orphan": {
204
  "p": 0.0,
@@ -210,132 +220,133 @@
210
  "r": 0.3333333333,
211
  "f": 0.5
212
  },
213
- "csubj:pass": {
214
  "p": 0.0,
215
  "r": 0.0,
216
  "f": 0.0
217
  },
218
- "compound": {
219
- "p": 0.5714285714,
220
- "r": 0.5714285714,
221
- "f": 0.5714285714
222
  },
223
- "list": {
224
  "p": 0.0,
225
  "r": 0.0,
226
  "f": 0.0
227
  },
228
- "ccomp:pmod": {
229
- "p": 0.25,
230
- "r": 0.3333333333,
231
- "f": 0.2857142857
232
  },
233
- "cc:preconj": {
234
  "p": 0.0,
235
  "r": 0.0,
236
  "f": 0.0
237
  }
238
  },
239
- "pos_acc": 0.9405873228,
240
- "morph_acc": 0.9510657636,
241
- "morph_micro_p": 0.9896160458,
242
- "morph_micro_r": 0.9582489383,
243
- "morph_micro_f": 0.9706797273,
 
244
  "morph_per_feat": {
245
  "Case": {
246
- "p": 0.9938697318,
247
- "r": 0.9896985883,
248
- "f": 0.9917797744
249
  },
250
  "Gender": {
251
- "p": 0.991821842,
252
- "r": 0.9854981873,
253
- "f": 0.9886499028
254
  },
255
  "Number": {
256
- "p": 0.9894903379,
257
- "r": 0.922363847,
258
- "f": 0.9547486643
259
  },
260
  "Person": {
261
- "p": 0.9911452184,
262
- "r": 0.9893930466,
263
- "f": 0.9902683574
264
  },
265
  "PronType": {
266
- "p": 0.9965349965,
267
- "r": 0.993780235,
268
- "f": 0.9951557093
269
  },
270
  "Polarity": {
271
- "p": 0.9918566775,
272
- "r": 0.9983606557,
273
- "f": 0.9950980392
274
  },
275
  "AdpType": {
276
- "p": 0.998982706,
277
  "r": 0.9969543147,
278
- "f": 0.9979674797
279
  },
280
  "Definite": {
281
- "p": 0.9886490807,
282
- "r": 0.9815873016,
283
- "f": 0.9851055356
284
  },
285
  "Degree": {
286
- "p": 0.9582772544,
287
- "r": 0.9563465413,
288
- "f": 0.9573109244
289
  },
290
  "VerbForm": {
291
- "p": 0.9774236388,
292
- "r": 0.9787234043,
293
- "f": 0.9780730897
294
  },
295
  "Abbr": {
296
- "p": 0.9538461538,
297
- "r": 0.8303571429,
298
- "f": 0.8878281623
299
  },
300
  "Poss": {
301
  "p": 1.0,
302
- "r": 0.9927710843,
303
- "f": 0.9963724305
304
  },
305
  "NumForm": {
306
- "p": 0.9871794872,
307
- "r": 0.3181818182,
308
- "f": 0.48125
309
  },
310
  "NumType": {
311
- "p": 0.9872881356,
312
- "r": 0.3200549451,
313
- "f": 0.4834024896
314
  },
315
  "Reflex": {
316
  "p": 1.0,
317
- "r": 1.0,
318
- "f": 1.0
319
  },
320
  "Strength": {
321
- "p": 0.9920318725,
322
- "r": 0.9880952381,
323
- "f": 0.9900596421
324
  },
325
  "Mood": {
326
- "p": 0.972826087,
327
- "r": 0.9853211009,
328
- "f": 0.9790337284
329
  },
330
  "Tense": {
331
- "p": 0.9725036179,
332
  "r": 0.976744186,
333
- "f": 0.9746192893
334
  },
335
  "Variant": {
336
- "p": 0.9932885906,
337
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  "Position": {
341
  "p": 1.0,
@@ -358,91 +369,90 @@
358
  "f": 0.0
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  }
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  "MONEY": {
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- "f": 0.9189189189
 
 
 
 
 
420
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431
  "QUANTITY": {
432
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434
- "f": 0.9811320755
 
 
 
 
 
435
  },
436
  "LANGUAGE": {
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104
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105
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109
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114
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115
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119
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131
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134
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136
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137
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138
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139
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141
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143
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144
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146
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148
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149
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150
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152
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153
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154
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155
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156
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157
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158
  "csubj": {
159
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160
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162
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163
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168
  "obl:agent": {
169
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170
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173
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178
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179
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180
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182
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183
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184
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186
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189
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193
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194
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196
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197
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198
  "goeswith": {
199
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200
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
  "orphan": {
214
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220
  "r": 0.3333333333,
221
  "f": 0.5
222
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223
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224
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225
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228
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229
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231
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232
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233
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238
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243
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244
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245
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246
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248
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249
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250
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251
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252
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253
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254
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255
  "morph_per_feat": {
256
  "Case": {
257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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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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277
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278
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279
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280
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281
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282
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283
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284
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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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291
  "Definite": {
292
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293
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294
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295
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296
  "Degree": {
297
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298
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299
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300
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301
  "VerbForm": {
302
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303
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304
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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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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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341
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342
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343
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344
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345
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346
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347
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348
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350
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351
  "Position": {
352
  "p": 1.0,
 
369
  "f": 0.0
370
  }
371
  },
372
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373
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374
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375
  "ents_per_type": {
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377
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378
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379
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381
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383
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384
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385
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386
  "FACILITY": {
387
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388
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389
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390
  },
391
  "NUMERIC_VALUE": {
392
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393
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394
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396
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399
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401
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406
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411
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416
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421
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431
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436
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439
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440
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441
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444
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445
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446
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450
  },
451
  "LANGUAGE": {
452
+ "p": 0.8,
453
  "r": 1.0,
454
+ "f": 0.8888888889
 
 
 
 
 
455
  }
456
  },
457
+ "speed": 9115.098662697
458
  }
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 = "ro"
13
- pipeline = ["tok2vec","tagger","parser","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 = "lookup"
31
- model = null
32
  overwrite = false
33
  scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 
 
 
 
 
 
 
 
 
 
 
34
 
35
  [components.ner]
36
  factory = "ner"
@@ -55,7 +66,7 @@ nO = null
55
  @architectures = "spacy.MultiHashEmbed.v2"
56
  width = 96
57
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
58
- rows = [5000,2500,2500,2500,100]
59
  include_static_vectors = true
60
 
61
  [components.ner.model.tok2vec.encode]
@@ -93,8 +104,9 @@ overwrite = false
93
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
94
 
95
  [components.senter.model]
96
- @architectures = "spacy.Tagger.v1"
97
  nO = null
 
98
 
99
  [components.senter.model.tok2vec]
100
  @architectures = "spacy.Tok2Vec.v2"
@@ -115,12 +127,14 @@ maxout_pieces = 2
115
 
116
  [components.tagger]
117
  factory = "tagger"
 
118
  overwrite = false
119
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
120
 
121
  [components.tagger.model]
122
- @architectures = "spacy.Tagger.v1"
123
  nO = null
 
124
 
125
  [components.tagger.model.tok2vec]
126
  @architectures = "spacy.Tok2VecListener.v1"
@@ -137,7 +151,7 @@ factory = "tok2vec"
137
  @architectures = "spacy.MultiHashEmbed.v2"
138
  width = ${components.tok2vec.model.encode:width}
139
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
140
- rows = [5000,2500,2500,2500,100]
141
  include_static_vectors = true
142
 
143
  [components.tok2vec.model.encode]
@@ -174,7 +188,7 @@ dropout = 0.1
174
  accumulate_gradient = 1
175
  patience = 5000
176
  max_epochs = 0
177
- max_steps = 0
178
  eval_frequency = 1000
179
  frozen_components = []
180
  before_to_disk = null
@@ -209,15 +223,15 @@ eps = 0.00000001
209
  learn_rate = 0.001
210
 
211
  [training.score_weights]
212
- tag_acc = 0.16
213
  dep_uas = 0.0
214
- dep_las = 0.16
215
  dep_las_per_type = null
216
  sents_p = null
217
  sents_r = null
218
- sents_f = 0.02
219
- lemma_acc = 0.5
220
- ents_f = 0.16
221
  ents_p = 0.0
222
  ents_r = 0.0
223
  ents_per_type = null
 
10
 
11
  [nlp]
12
  lang = "ro"
13
+ pipeline = ["tok2vec","tagger","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.ner]
47
  factory = "ner"
 
66
  @architectures = "spacy.MultiHashEmbed.v2"
67
  width = 96
68
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
69
+ rows = [5000,1000,2500,2500,50]
70
  include_static_vectors = true
71
 
72
  [components.ner.model.tok2vec.encode]
 
104
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
105
 
106
  [components.senter.model]
107
+ @architectures = "spacy.Tagger.v2"
108
  nO = null
109
+ normalize = false
110
 
111
  [components.senter.model.tok2vec]
112
  @architectures = "spacy.Tok2Vec.v2"
 
127
 
128
  [components.tagger]
129
  factory = "tagger"
130
+ neg_prefix = "!"
131
  overwrite = false
132
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
133
 
134
  [components.tagger.model]
135
+ @architectures = "spacy.Tagger.v2"
136
  nO = null
137
+ normalize = false
138
 
139
  [components.tagger.model.tok2vec]
140
  @architectures = "spacy.Tok2VecListener.v1"
 
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
+ tag_acc = 0.29
227
  dep_uas = 0.0
228
+ dep_las = 0.29
229
  dep_las_per_type = null
230
  sents_p = null
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  sents_r = null
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+ sents_f = 0.04
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+ lemma_acc = 0.1
234
+ ents_f = 0.29
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  ents_p = 0.0
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  ents_r = 0.0
237
  ents_per_type = null
lemmatizer/cfg ADDED
@@ -0,0 +1,1141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
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549
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551
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552
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572
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573
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574
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575
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576
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577
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578
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579
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581
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582
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583
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584
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