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Update spaCy pipeline

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LICENSES_SOURCES CHANGED
@@ -549,7 +549,7 @@ terms of this License.```
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- # UD Romanian RRT v2.5
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  * Author: Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin
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  * URL: https://github.com/UniversalDependencies/UD_Romanian-RRT
 
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+ # UD Romanian RRT v2.8
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  * Author: Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin
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  * URL: https://github.com/UniversalDependencies/UD_Romanian-RRT
README.md CHANGED
@@ -4,7 +4,7 @@ tags:
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  - token-classification
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  language:
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  - ro
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- license: CC-BY-SA-4.0
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  model-index:
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  - name: ro_core_news_lg
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  results:
@@ -14,47 +14,47 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.7588147037
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  - name: NER Recall
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  type: recall
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- value: 0.7771801767
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  - name: NER F Score
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  type: f_score
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- value: 0.7678876447
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS Accuracy
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  type: accuracy
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- value: 0.975315026
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  - task:
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  name: SENTER
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  type: token-classification
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  metrics:
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  - name: SENTER Precision
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  type: precision
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- value: 0.9533954727
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  - name: SENTER Recall
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  type: recall
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- value: 0.9521276596
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  - name: SENTER F Score
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  type: f_score
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- value: 0.9527611444
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Dependencies Accuracy
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  type: accuracy
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- value: 0.8904573687
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Dependencies Accuracy
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  type: accuracy
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- value: 0.8904573687
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  ---
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  ### Details: https://spacy.io/models/ro#ro_core_news_lg
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@@ -63,12 +63,12 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `ro_core_news_lg` |
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- | **Version** | `3.1.0` |
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- | **spaCy** | `>=3.1.0,<3.2.0` |
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  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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- | **Sources** | [Lemmatization Lists](https://github.com/michmech/lemmatization-lists/) (Michal Měchura)<br />[UD Romanian RRT v2.5](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) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -76,12 +76,12 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
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  <details>
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- <summary>View label scheme (534 labels for 4 components)</summary>
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  | Component | Labels |
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  | --- | --- |
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- | **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `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`, `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`, `Mc-p-d`, `Mc-p-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrln`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `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`, `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`, `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`, `Ps2ms-s`, `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`, `Rgc`, `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`, `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`, `Vmsp1s`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp-sr`, `Yr` |
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- | **`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:agent`, `nmod:pmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
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  | **`senter`** | `I`, `S` |
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  | **`ner`** | `DATETIME`, `EVENT`, `FACILITY`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NAT_REL_POL`, `NUMERIC_VALUE`, `ORDINAL`, `ORGANIZATION`, `PERIOD`, `PERSON`, `PRODUCT`, `QUANTITY`, `WORK_OF_ART` |
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@@ -92,15 +92,21 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter
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  | Type | Score |
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  | --- | --- |
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  | `TOKEN_ACC` | 99.90 |
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- | `TAG_ACC` | 97.53 |
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- | `POS_ACC` | 96.54 |
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- | `MORPH_ACC` | 97.61 |
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- | `LEMMA_ACC` | 81.87 |
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- | `DEP_UAS` | 89.05 |
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- | `DEP_LAS` | 84.67 |
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- | `ENTS_P` | 75.88 |
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- | `ENTS_R` | 77.72 |
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- | `ENTS_F` | 76.79 |
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- | `SENTS_P` | 95.34 |
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- | `SENTS_R` | 95.21 |
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- | `SENTS_F` | 95.28 |
 
 
 
 
 
 
 
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  - token-classification
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  language:
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  - ro
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+ license: cc-by-sa-4.0
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  model-index:
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  - name: ro_core_news_lg
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  results:
 
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  metrics:
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  - name: NER Precision
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  type: precision
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+ value: 0.7550713749
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  - name: NER Recall
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  type: recall
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+ value: 0.7721859393
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  - name: NER F Score
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  type: f_score
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+ value: 0.7635327635
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS Accuracy
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  type: accuracy
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+ value: 0.9664291788
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  - task:
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  name: SENTER
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  type: token-classification
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  metrics:
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  - name: SENTER Precision
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  type: precision
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+ value: 0.954787234
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  - name: SENTER Recall
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  type: recall
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+ value: 0.954787234
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  - name: SENTER F Score
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  type: f_score
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+ value: 0.954787234
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Dependencies Accuracy
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  type: accuracy
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+ value: 0.8897462438
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Dependencies Accuracy
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  type: accuracy
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+ value: 0.8897462438
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  ---
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  ### Details: https://spacy.io/models/ro#ro_core_news_lg
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `ro_core_news_lg` |
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+ | **Version** | `3.2.0` |
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+ | **spaCy** | `>=3.2.0,<3.3.0` |
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  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
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+ | **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) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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  <details>
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+ <summary>View label scheme (541 labels for 4 components)</summary>
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  | Component | Labels |
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  | --- | --- |
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+ | **`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
 
 
92
  | Type | Score |
93
  | --- | --- |
94
  | `TOKEN_ACC` | 99.90 |
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 |
accuracy.json CHANGED
@@ -1,447 +1,448 @@
1
  {
2
  "token_acc": 0.9990029326,
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- "tag_acc": 0.975315026,
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- "pos_acc": 0.965353945,
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- "morph_acc": 0.9760744713,
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- "lemma_acc": 0.8186589263,
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- "dep_uas": 0.8904573687,
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- "dep_las": 0.8467281511,
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- "ents_p": 0.7588147037,
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- "ents_r": 0.7771801767,
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- "ents_f": 0.7678876447,
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- "sents_p": 0.9533954727,
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- "sents_r": 0.9521276596,
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- "sents_f": 0.9527611444,
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- "speed": 10281.5880630945,
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- "morph_per_feat": {
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- "AdpType": {
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- "p": 0.9970784641,
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- "r": 0.9941739492,
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- "f": 0.9956240884
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  },
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- "Case": {
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- "p": 0.9896781203,
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- "r": 0.9840648211,
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- "f": 0.9868634886
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  },
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- "Variant": {
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- "p": 0.9845559846,
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- "r": 0.9205776173,
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- "f": 0.9514925373
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  },
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- "Gender": {
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- "p": 0.9840800225,
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- "r": 0.9782913165,
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- "f": 0.9811771316
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  },
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- "Number": {
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- "p": 0.9833276236,
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- "r": 0.9778560073,
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- "f": 0.9805841827
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  },
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- "PronType": {
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- "p": 0.9938366718,
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- "r": 0.987244898,
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- "f": 0.9905298183
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  },
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- "Definite": {
48
- "p": 0.9784728611,
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- "r": 0.9725676664,
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- "f": 0.9755113272
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  },
52
- "Degree": {
53
- "p": 0.9530685921,
54
- "r": 0.9428571429,
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- "f": 0.947935368
56
  },
57
- "Polarity": {
58
- "p": 0.9884467266,
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- "r": 0.985915493,
60
- "f": 0.9871794872
61
  },
62
- "Mood": {
63
- "p": 0.9740072202,
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- "r": 0.9635714286,
65
- "f": 0.9687612208
66
  },
67
- "Person": {
68
- "p": 0.9837338262,
69
- "r": 0.9718772827,
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- "f": 0.9777696123
71
  },
72
- "Tense": {
73
- "p": 0.9730337079,
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- "r": 0.9572586588,
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- "f": 0.9650817236
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  },
77
- "VerbForm": {
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- "p": 0.9698996656,
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- "r": 0.9593572779,
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- "f": 0.9645996674
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  },
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- "NumForm": {
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- "p": 0.9901960784,
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- "r": 0.9853658537,
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- "f": 0.9877750611
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  },
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- "NumType": {
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- "p": 0.9927536232,
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- "r": 0.9856115108,
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- "f": 0.9891696751
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  },
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- "PartType": {
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- "p": 0.9473684211,
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- "r": 0.9,
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- "f": 0.9230769231
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  },
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- "Strength": {
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- "p": 0.9897959184,
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- "r": 0.9797979798,
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- "f": 0.9847715736
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  },
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- "Reflex": {
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- "p": 0.9938461538,
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- "r": 0.990797546,
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- "f": 0.9923195084
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  },
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- "Poss": {
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- "p": 0.9792387543,
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- "r": 0.9895104895,
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- "f": 0.9843478261
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  },
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- "Position": {
113
- "p": 0.9928057554,
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- "r": 0.9517241379,
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- "f": 0.9718309859
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  },
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- "Number[psor]": {
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- "p": 0.9295774648,
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- "r": 0.9565217391,
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- "f": 0.9428571429
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  },
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- "Abbr": {
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- "p": 0.9746835443,
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- "r": 0.9058823529,
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- "f": 0.9390243902
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  },
127
- "Foreign": {
 
 
 
 
 
128
  "p": 0.0,
129
  "r": 0.0,
130
  "f": 0.0
131
- }
132
- },
133
- "dep_las_per_type": {
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- "case": {
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- "p": 0.9257307139,
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- "r": 0.9415204678,
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- "f": 0.9335588306
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  },
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- "det": {
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- "p": 0.9473684211,
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- "r": 0.9671052632,
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- "f": 0.9571351058
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- },
144
- "nmod:tmod": {
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- "p": 0.4,
146
- "r": 0.0465116279,
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- "f": 0.0833333333
148
- },
149
- "amod": {
150
- "p": 0.8639212175,
151
- "r": 0.8756805808,
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- "f": 0.8697611537
153
- },
154
- "cc": {
155
- "p": 0.8669354839,
156
- "r": 0.89958159,
157
- "f": 0.8829568789
158
- },
159
- "conj": {
160
- "p": 0.5984962406,
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- "r": 0.6012084592,
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- "f": 0.5998492841
163
- },
164
- "nmod": {
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- "p": 0.7883565797,
166
- "r": 0.8217446271,
167
- "f": 0.8047044259
168
- },
169
- "mark": {
170
- "p": 0.8857142857,
171
- "r": 0.9056179775,
172
- "f": 0.8955555556
173
- },
174
- "fixed": {
175
- "p": 0.8689217759,
176
- "r": 0.7172774869,
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- "f": 0.7858508604
178
- },
179
- "nsubj": {
180
- "p": 0.8333333333,
181
- "r": 0.7814485388,
182
- "f": 0.806557377
183
  },
184
- "advcl:tcl": {
185
  "p": 0.0,
186
  "r": 0.0,
187
  "f": 0.0
188
  },
189
- "obj": {
190
- "p": 0.7794117647,
191
- "r": 0.8139931741,
192
- "f": 0.796327212
193
- },
194
- "nummod": {
195
- "p": 0.8703703704,
196
- "r": 0.8676923077,
197
- "f": 0.8690292758
198
  },
199
  "flat": {
200
- "p": 0.7441860465,
201
- "r": 0.6857142857,
202
- "f": 0.7137546468
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  },
204
- "obl": {
205
- "p": 0.649068323,
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- "r": 0.7116912599,
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- "f": 0.6789388197
208
  },
209
- "nmod:pmod": {
210
- "p": 0.44,
211
- "r": 0.1692307692,
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- "f": 0.2444444444
213
  },
214
- "acl": {
215
- "p": 0.7024793388,
216
- "r": 0.7264957265,
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- "f": 0.7142857143
218
  },
219
- "advmod": {
220
- "p": 0.7860962567,
221
- "r": 0.7577319588,
222
- "f": 0.7716535433
223
  },
224
  "expl:pv": {
225
- "p": 0.7883597884,
226
- "r": 0.7967914439,
227
- "f": 0.7925531915
228
- },
229
- "root": {
230
- "p": 0.917222964,
231
- "r": 0.9135638298,
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- "f": 0.9153897402
233
- },
234
- "advcl": {
235
- "p": 0.5625,
236
- "r": 0.5853658537,
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- "f": 0.5737051793
238
  },
239
- "iobj": {
240
- "p": 0.7591240876,
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- "r": 0.7027027027,
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- "f": 0.7298245614
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- },
244
- "ccomp": {
245
- "p": 0.7178217822,
246
- "r": 0.8146067416,
247
- "f": 0.7631578947
248
- },
249
- "goeswith": {
250
- "p": 0.875,
251
- "r": 0.5833333333,
252
- "f": 0.7
253
  },
254
- "parataxis": {
255
- "p": 0.7027027027,
256
- "r": 0.5954198473,
257
- "f": 0.6446280992
258
  },
259
  "expl:poss": {
260
- "p": 0.5909090909,
261
- "r": 0.6046511628,
262
- "f": 0.5977011494
263
  },
264
- "cop": {
265
- "p": 0.7647058824,
266
- "r": 0.8024691358,
267
- "f": 0.7831325301
268
- },
269
- "cc:preconj": {
270
  "p": 0.0,
271
  "r": 0.0,
272
  "f": 0.0
273
  },
274
- "aux": {
275
- "p": 0.9716713881,
276
- "r": 0.9122340426,
277
- "f": 0.9410150892
278
- },
279
- "expl": {
280
- "p": 0.5294117647,
281
- "r": 0.4186046512,
282
- "f": 0.4675324675
283
- },
284
- "appos": {
285
- "p": 0.4347826087,
286
- "r": 0.396039604,
287
- "f": 0.414507772
288
- },
289
  "xcomp": {
290
- "p": 0.5441176471,
291
- "r": 0.4512195122,
292
- "f": 0.4933333333
293
- },
294
- "csubj": {
295
- "p": 0.7966101695,
296
- "r": 0.746031746,
297
- "f": 0.7704918033
298
- },
299
- "nmod:agent": {
300
- "p": 0.7285714286,
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- "r": 0.7846153846,
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- "f": 0.7555555556
303
- },
304
- "aux:pass": {
305
- "p": 0.7769784173,
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- "r": 0.9,
307
- "f": 0.833976834
308
  },
309
- "dep": {
310
  "p": 0.0,
311
  "r": 0.0,
312
  "f": 0.0
313
  },
314
- "nsubj:pass": {
315
- "p": 0.6111111111,
316
- "r": 0.6644295302,
317
- "f": 0.6366559486
318
  },
319
- "advmod:tmod": {
320
  "p": 0.0,
321
  "r": 0.0,
322
  "f": 0.0
323
  },
324
- "expl:pass": {
325
- "p": 0.6734693878,
326
- "r": 0.7252747253,
327
- "f": 0.6984126984
328
- },
329
- "ccomp:pmod": {
330
- "p": 0.4,
331
- "r": 0.2666666667,
332
- "f": 0.32
333
- },
334
  "compound": {
335
- "p": 0.25,
336
- "r": 0.3333333333,
337
- "f": 0.2857142857
338
  },
339
- "orphan": {
340
  "p": 0.0,
341
  "r": 0.0,
342
  "f": 0.0
343
  },
344
- "expl:impers": {
345
- "p": 0.3333333333,
346
- "r": 0.1,
347
- "f": 0.1538461538
348
- },
349
- "csubj:pass": {
350
  "p": 0.25,
351
  "r": 0.3333333333,
352
  "f": 0.2857142857
353
  },
354
- "vocative": {
355
  "p": 0.0,
356
  "r": 0.0,
357
  "f": 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
358
  },
359
- "discourse": {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
360
  "p": 0.0,
361
  "r": 0.0,
362
  "f": 0.0
363
  }
364
  },
 
 
 
 
365
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447
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132
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137
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147
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177
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178
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182
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183
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189
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193
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194
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198
  "xcomp": {
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202
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203
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208
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218
  "compound": {
219
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229
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420
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421
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431
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434
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435
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436
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448
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -1,10 +1,8 @@
1
  [paths]
2
- train = "corpus/ro-dep-mixed/train.spacy"
3
- dev = "corpus/ro-dep-mixed/dev.spacy"
4
- vectors = "corpus/ro_vectors"
5
- raw = null
6
  init_tok2vec = null
7
- vocab_data = null
8
 
9
  [system]
10
  gpu_allocator = null
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
24
 
25
  [components.attribute_ruler]
26
  factory = "attribute_ruler"
 
27
  validate = false
28
 
29
  [components.lemmatizer]
@@ -31,11 +30,13 @@ factory = "lemmatizer"
31
  mode = "lookup"
32
  model = null
33
  overwrite = false
 
34
 
35
  [components.ner]
36
  factory = "ner"
37
  incorrect_spans_key = null
38
  moves = null
 
39
  update_with_oracle_cut_size = 100
40
 
41
  [components.ner.model]
@@ -53,8 +54,8 @@ nO = null
53
  [components.ner.model.tok2vec.embed]
54
  @architectures = "spacy.MultiHashEmbed.v2"
55
  width = 96
56
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
57
- rows = [5000,2500,2500,2500]
58
  include_static_vectors = true
59
 
60
  [components.ner.model.tok2vec.encode]
@@ -69,6 +70,7 @@ factory = "parser"
69
  learn_tokens = false
70
  min_action_freq = 30
71
  moves = null
 
72
  update_with_oracle_cut_size = 100
73
 
74
  [components.parser.model]
@@ -87,6 +89,8 @@ upstream = "tok2vec"
87
 
88
  [components.senter]
89
  factory = "senter"
 
 
90
 
91
  [components.senter.model]
92
  @architectures = "spacy.Tagger.v1"
@@ -98,8 +102,8 @@ nO = null
98
  [components.senter.model.tok2vec.embed]
99
  @architectures = "spacy.MultiHashEmbed.v2"
100
  width = 16
101
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
102
- rows = [1000,500,500,500]
103
  include_static_vectors = true
104
 
105
  [components.senter.model.tok2vec.encode]
@@ -111,6 +115,8 @@ maxout_pieces = 2
111
 
112
  [components.tagger]
113
  factory = "tagger"
 
 
114
 
115
  [components.tagger.model]
116
  @architectures = "spacy.Tagger.v1"
@@ -130,8 +136,8 @@ factory = "tok2vec"
130
  [components.tok2vec.model.embed]
131
  @architectures = "spacy.MultiHashEmbed.v2"
132
  width = ${components.tok2vec.model.encode:width}
133
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
134
- rows = [5000,2500,2500,2500]
135
  include_static_vectors = true
136
 
137
  [components.tok2vec.model.encode]
@@ -145,22 +151,19 @@ maxout_pieces = 3
145
 
146
  [corpora.dev]
147
  @readers = "spacy.Corpus.v1"
148
- limit = 0
149
- max_length = 0
150
- path = ${paths:dev}
151
  gold_preproc = false
 
 
152
  augmenter = null
153
 
154
  [corpora.train]
155
  @readers = "spacy.Corpus.v1"
156
- path = ${paths:train}
157
- max_length = 5000
158
  gold_preproc = false
 
159
  limit = 0
160
-
161
- [corpora.train.augmenter]
162
- @augmenters = "spacy.lower_case.v1"
163
- level = 0.1
164
 
165
  [training]
166
  train_corpus = "corpora.train"
@@ -191,9 +194,8 @@ compound = 1.001
191
  t = 0.0
192
 
193
  [training.logger]
194
- @loggers = "spacy.WandbLogger.v1"
195
- project_name = "spacy-v3.0.0a2"
196
- remove_config_values = []
197
 
198
  [training.optimizer]
199
  @optimizers = "Adam.v1"
@@ -214,16 +216,17 @@ dep_las_per_type = null
214
  sents_p = null
215
  sents_r = null
216
  sents_f = 0.02
217
- lemma_acc = 0.33
218
- ents_f = 0.33
219
  ents_p = 0.0
220
  ents_r = 0.0
221
  ents_per_type = null
 
222
 
223
  [pretraining]
224
 
225
  [initialize]
226
- vocab_data = ${paths.vocab_data}
227
  vectors = ${paths.vectors}
228
  init_tok2vec = ${paths.init_tok2vec}
229
  before_init = null
 
1
  [paths]
2
+ train = null
3
+ dev = null
4
+ vectors = null
 
5
  init_tok2vec = null
 
6
 
7
  [system]
8
  gpu_allocator = null
 
22
 
23
  [components.attribute_ruler]
24
  factory = "attribute_ruler"
25
+ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
26
  validate = false
27
 
28
  [components.lemmatizer]
 
30
  mode = "lookup"
31
  model = null
32
  overwrite = false
33
+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
34
 
35
  [components.ner]
36
  factory = "ner"
37
  incorrect_spans_key = null
38
  moves = null
39
+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
40
  update_with_oracle_cut_size = 100
41
 
42
  [components.ner.model]
 
54
  [components.ner.model.tok2vec.embed]
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]
 
70
  learn_tokens = false
71
  min_action_freq = 30
72
  moves = null
73
+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
74
  update_with_oracle_cut_size = 100
75
 
76
  [components.parser.model]
 
89
 
90
  [components.senter]
91
  factory = "senter"
92
+ overwrite = false
93
+ scorer = {"@scorers":"spacy.senter_scorer.v1"}
94
 
95
  [components.senter.model]
96
  @architectures = "spacy.Tagger.v1"
 
102
  [components.senter.model.tok2vec.embed]
103
  @architectures = "spacy.MultiHashEmbed.v2"
104
  width = 16
105
+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
106
+ rows = [1000,500,500,500,50]
107
  include_static_vectors = true
108
 
109
  [components.senter.model.tok2vec.encode]
 
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"
 
136
  [components.tok2vec.model.embed]
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]
 
151
 
152
  [corpora.dev]
153
  @readers = "spacy.Corpus.v1"
154
+ path = ${paths.dev}
 
 
155
  gold_preproc = false
156
+ max_length = 0
157
+ limit = 0
158
  augmenter = null
159
 
160
  [corpora.train]
161
  @readers = "spacy.Corpus.v1"
162
+ path = ${paths.train}
 
163
  gold_preproc = false
164
+ max_length = 0
165
  limit = 0
166
+ augmenter = null
 
 
 
167
 
168
  [training]
169
  train_corpus = "corpora.train"
 
194
  t = 0.0
195
 
196
  [training.logger]
197
+ @loggers = "spacy.ConsoleLogger.v1"
198
+ progress_bar = false
 
199
 
200
  [training.optimizer]
201
  @optimizers = "Adam.v1"
 
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
224
+ speed = 0.0
225
 
226
  [pretraining]
227
 
228
  [initialize]
229
+ vocab_data = null
230
  vectors = ${paths.vectors}
231
  init_tok2vec = ${paths.init_tok2vec}
232
  before_init = null
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"ro",
3
  "name":"core_news_lg",
4
- "version":"3.1.0",
5
  "description":"Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 4.0",
10
- "spacy_version":">=3.1.0,<3.2.0",
11
- "spacy_git_version":"caba63b74",
12
  "vectors":{
13
  "width":300,
14
  "vectors":500000,
@@ -30,6 +30,7 @@
30
  "Afp",
31
  "Afp-p-n",
32
  "Afp-poy",
 
33
  "Afpf--n",
34
  "Afpfp-n",
35
  "Afpfp-ny",
@@ -131,6 +132,7 @@
131
  "Ds2ms-s",
132
  "Ds3---p",
133
  "Ds3---s",
 
134
  "Ds3fp-s",
135
  "Ds3fsos",
136
  "Ds3fsrs",
@@ -159,18 +161,23 @@
159
  "LSQR",
160
  "LT",
161
  "M",
162
- "Mc",
163
  "Mc-p-d",
164
  "Mc-p-l",
 
 
 
165
  "Mcfp-l",
166
  "Mcfp-ln",
167
  "Mcfprln",
168
  "Mcfprly",
169
  "Mcfsoln",
 
170
  "Mcfsrln",
 
171
  "Mcmp-l",
172
  "Mcms-ln",
173
  "Mcmsrl",
 
174
  "Mcmsrly",
175
  "Mffprln",
176
  "Mffsrln",
@@ -243,7 +250,6 @@
243
  "Pd3mpr--y",
244
  "Pd3mso",
245
  "Pd3msr",
246
- "Pi3",
247
  "Pi3--r",
248
  "Pi3-po",
249
  "Pi3-so",
@@ -289,6 +295,7 @@
289
  "Pp3-po--------s",
290
  "Pp3-sd--------w",
291
  "Pp3-sd--y-----w",
 
292
  "Pp3fpa--------w",
293
  "Pp3fpa--y-----w",
294
  "Pp3fpr--------s",
@@ -315,7 +322,6 @@
315
  "Ps2fp-s",
316
  "Ps2fsrp",
317
  "Ps2fsrs",
318
- "Ps2ms-s",
319
  "Ps3---p",
320
  "Ps3---s",
321
  "Ps3fp-s",
@@ -348,7 +354,6 @@
348
  "RPAR",
349
  "RSQR",
350
  "Rc",
351
- "Rgc",
352
  "Rgp",
353
  "Rgpy",
354
  "Rgs",
@@ -406,6 +411,7 @@
406
  "Va--3s",
407
  "Va--3s----y",
408
  "Vag",
 
409
  "Vaii1",
410
  "Vaii2s",
411
  "Vaii3p",
@@ -475,7 +481,7 @@
475
  "Vmp--sm",
476
  "Vmp--sm---y",
477
  "Vmsp1p",
478
- "Vmsp1s",
479
  "Vmsp2s",
480
  "Vmsp3",
481
  "Vmsp3-----y",
@@ -488,6 +494,7 @@
488
  "Ynmsoy",
489
  "Ynmsry",
490
  "Yp",
 
491
  "Yp-sr",
492
  "Yr"
493
  ],
@@ -525,14 +532,14 @@
525
  "iobj",
526
  "mark",
527
  "nmod",
528
- "nmod:agent",
529
- "nmod:pmod",
530
  "nmod:tmod",
531
  "nsubj",
532
  "nsubj:pass",
533
  "nummod",
534
  "obj",
535
  "obl",
 
 
536
  "orphan",
537
  "parataxis",
538
  "punct",
@@ -590,450 +597,451 @@
590
  ],
591
  "performance":{
592
  "token_acc":0.9990029326,
593
- "tag_acc":0.975315026,
594
- "pos_acc":0.965353945,
595
- "morph_acc":0.9760744713,
596
- "lemma_acc":0.8186589263,
597
- "dep_uas":0.8904573687,
598
- "dep_las":0.8467281511,
599
- "ents_p":0.7588147037,
600
- "ents_r":0.7771801767,
601
- "ents_f":0.7678876447,
602
- "sents_p":0.9533954727,
603
- "sents_r":0.9521276596,
604
- "sents_f":0.9527611444,
605
- "speed":10281.5880630945,
606
- "morph_per_feat":{
607
- "AdpType":{
608
- "p":0.9970784641,
609
- "r":0.9941739492,
610
- "f":0.9956240884
611
  },
612
- "Case":{
613
- "p":0.9896781203,
614
- "r":0.9840648211,
615
- "f":0.9868634886
616
  },
617
- "Variant":{
618
- "p":0.9845559846,
619
- "r":0.9205776173,
620
- "f":0.9514925373
621
  },
622
- "Gender":{
623
- "p":0.9840800225,
624
- "r":0.9782913165,
625
- "f":0.9811771316
626
  },
627
- "Number":{
628
- "p":0.9833276236,
629
- "r":0.9778560073,
630
- "f":0.9805841827
631
  },
632
- "PronType":{
633
- "p":0.9938366718,
634
- "r":0.987244898,
635
- "f":0.9905298183
636
  },
637
- "Definite":{
638
- "p":0.9784728611,
639
- "r":0.9725676664,
640
- "f":0.9755113272
641
  },
642
- "Degree":{
643
- "p":0.9530685921,
644
- "r":0.9428571429,
645
- "f":0.947935368
646
  },
647
- "Polarity":{
648
- "p":0.9884467266,
649
- "r":0.985915493,
650
- "f":0.9871794872
651
  },
652
- "Mood":{
653
- "p":0.9740072202,
654
- "r":0.9635714286,
655
- "f":0.9687612208
656
  },
657
- "Person":{
658
- "p":0.9837338262,
659
- "r":0.9718772827,
660
- "f":0.9777696123
661
  },
662
- "Tense":{
663
- "p":0.9730337079,
664
- "r":0.9572586588,
665
- "f":0.9650817236
666
  },
667
- "VerbForm":{
668
- "p":0.9698996656,
669
- "r":0.9593572779,
670
- "f":0.9645996674
671
  },
672
- "NumForm":{
673
- "p":0.9901960784,
674
- "r":0.9853658537,
675
- "f":0.9877750611
676
  },
677
- "NumType":{
678
- "p":0.9927536232,
679
- "r":0.9856115108,
680
- "f":0.9891696751
681
  },
682
- "PartType":{
683
- "p":0.9473684211,
684
- "r":0.9,
685
- "f":0.9230769231
686
  },
687
- "Strength":{
688
- "p":0.9897959184,
689
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690
- "f":0.9847715736
691
  },
692
- "Reflex":{
693
- "p":0.9938461538,
694
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695
- "f":0.9923195084
696
  },
697
- "Poss":{
698
- "p":0.9792387543,
699
- "r":0.9895104895,
700
- "f":0.9843478261
701
  },
702
- "Position":{
703
- "p":0.9928057554,
704
- "r":0.9517241379,
705
- "f":0.9718309859
706
  },
707
- "Number[psor]":{
708
- "p":0.9295774648,
709
- "r":0.9565217391,
710
- "f":0.9428571429
711
  },
712
- "Abbr":{
713
- "p":0.9746835443,
714
- "r":0.9058823529,
715
- "f":0.9390243902
716
  },
717
- "Foreign":{
 
 
 
 
 
718
  "p":0.0,
719
  "r":0.0,
720
  "f":0.0
721
- }
722
- },
723
- "dep_las_per_type":{
724
- "case":{
725
- "p":0.9257307139,
726
- "r":0.9415204678,
727
- "f":0.9335588306
728
  },
729
- "det":{
730
- "p":0.9473684211,
731
- "r":0.9671052632,
732
- "f":0.9571351058
733
- },
734
- "nmod:tmod":{
735
- "p":0.4,
736
- "r":0.0465116279,
737
- "f":0.0833333333
738
- },
739
- "amod":{
740
- "p":0.8639212175,
741
- "r":0.8756805808,
742
- "f":0.8697611537
743
- },
744
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745
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746
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747
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748
- },
749
- "conj":{
750
- "p":0.5984962406,
751
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752
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753
- },
754
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755
- "p":0.7883565797,
756
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757
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758
- },
759
- "mark":{
760
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761
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762
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763
- },
764
- "fixed":{
765
- "p":0.8689217759,
766
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767
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768
- },
769
- "nsubj":{
770
- "p":0.8333333333,
771
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772
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773
  },
774
- "advcl:tcl":{
775
  "p":0.0,
776
  "r":0.0,
777
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778
  },
779
- "obj":{
780
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781
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782
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783
- },
784
- "nummod":{
785
- "p":0.8703703704,
786
- "r":0.8676923077,
787
- "f":0.8690292758
788
  },
789
  "flat":{
790
- "p":0.7441860465,
791
- "r":0.6857142857,
792
- "f":0.7137546468
793
  },
794
- "obl":{
795
- "p":0.649068323,
796
- "r":0.7116912599,
797
- "f":0.6789388197
798
  },
799
- "nmod:pmod":{
800
- "p":0.44,
801
- "r":0.1692307692,
802
- "f":0.2444444444
803
  },
804
- "acl":{
805
- "p":0.7024793388,
806
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807
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808
  },
809
- "advmod":{
810
- "p":0.7860962567,
811
- "r":0.7577319588,
812
- "f":0.7716535433
813
  },
814
  "expl:pv":{
815
- "p":0.7883597884,
816
- "r":0.7967914439,
817
- "f":0.7925531915
818
- },
819
- "root":{
820
- "p":0.917222964,
821
- "r":0.9135638298,
822
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823
- },
824
- "advcl":{
825
- "p":0.5625,
826
- "r":0.5853658537,
827
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828
  },
829
- "iobj":{
830
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831
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832
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833
- },
834
- "ccomp":{
835
- "p":0.7178217822,
836
- "r":0.8146067416,
837
- "f":0.7631578947
838
- },
839
- "goeswith":{
840
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841
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842
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843
  },
844
- "parataxis":{
845
- "p":0.7027027027,
846
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847
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848
  },
849
  "expl:poss":{
850
- "p":0.5909090909,
851
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852
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853
  },
854
- "cop":{
855
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856
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857
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858
- },
859
- "cc:preconj":{
860
  "p":0.0,
861
  "r":0.0,
862
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863
  },
864
- "aux":{
865
- "p":0.9716713881,
866
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867
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868
- },
869
- "expl":{
870
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871
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872
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873
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874
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875
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876
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877
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878
- },
879
  "xcomp":{
880
- "p":0.5441176471,
881
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882
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883
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884
- "csubj":{
885
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886
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887
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888
- },
889
- "nmod:agent":{
890
- "p":0.7285714286,
891
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892
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893
- },
894
- "aux:pass":{
895
- "p":0.7769784173,
896
- "r":0.9,
897
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898
  },
899
- "dep":{
900
  "p":0.0,
901
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902
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903
  },
904
- "nsubj:pass":{
905
- "p":0.6111111111,
906
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907
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908
  },
909
- "advmod:tmod":{
910
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911
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912
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913
  },
914
- "expl:pass":{
915
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916
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917
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918
- },
919
- "ccomp:pmod":{
920
- "p":0.4,
921
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922
- "f":0.32
923
- },
924
  "compound":{
925
- "p":0.25,
926
- "r":0.3333333333,
927
- "f":0.2857142857
928
  },
929
- "orphan":{
930
  "p":0.0,
931
  "r":0.0,
932
  "f":0.0
933
  },
934
- "expl:impers":{
935
- "p":0.3333333333,
936
- "r":0.1,
937
- "f":0.1538461538
938
- },
939
- "csubj:pass":{
940
  "p":0.25,
941
  "r":0.3333333333,
942
  "f":0.2857142857
943
  },
944
- "vocative":{
945
  "p":0.0,
946
  "r":0.0,
947
  "f":0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
948
  },
949
- "discourse":{
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
950
  "p":0.0,
951
  "r":0.0,
952
  "f":0.0
953
  }
954
  },
 
 
 
 
955
  "ents_per_type":{
956
  "DATETIME":{
957
- "p":0.7852348993,
958
- "r":0.8153310105,
959
- "f":0.8
960
  },
961
  "ORGANIZATION":{
962
- "p":0.6873065015,
963
- "r":0.7070063694,
964
- "f":0.6970172684
965
  },
966
  "FACILITY":{
967
- "p":0.5317460317,
968
- "r":0.5114503817,
969
- "f":0.5214007782
 
 
 
 
 
970
  },
971
  "NUMERIC_VALUE":{
972
- "p":0.8978723404,
973
- "r":0.8940677966,
974
- "f":0.8959660297
975
  },
976
  "ORDINAL":{
977
- "p":0.7931034483,
978
  "r":0.8363636364,
979
- "f":0.814159292
980
  },
981
  "EVENT":{
982
- "p":0.5675675676,
983
- "r":0.5675675676,
984
- "f":0.5675675676
985
  },
986
  "GPE":{
987
- "p":0.8351409978,
988
- "r":0.8850574713,
989
- "f":0.859375
990
  },
991
  "PERSON":{
992
- "p":0.7360890302,
993
- "r":0.7768456376,
994
- "f":0.7559183673
995
  },
996
  "NAT_REL_POL":{
997
- "p":0.925170068,
998
  "r":0.9066666667,
999
- "f":0.9158249158
1000
  },
1001
  "MONEY":{
1002
- "p":0.9411764706,
1003
- "r":0.8275862069,
1004
- "f":0.880733945
1005
- },
1006
- "PRODUCT":{
1007
- "p":0.6260162602,
1008
- "r":0.5620437956,
1009
- "f":0.5923076923
1010
  },
1011
  "LOC":{
1012
- "p":0.4886363636,
1013
- "r":0.5657894737,
1014
- "f":0.5243902439
1015
  },
1016
  "WORK_OF_ART":{
1017
- "p":0.4285714286,
1018
- "r":0.4736842105,
1019
- "f":0.45
1020
  },
1021
  "QUANTITY":{
1022
- "p":0.8620689655,
1023
- "r":0.9615384615,
1024
- "f":0.9090909091
1025
- },
1026
- "PERIOD":{
1027
- "p":0.9428571429,
1028
- "r":0.7857142857,
1029
- "f":0.8571428571
1030
  },
1031
  "LANGUAGE":{
1032
- "p":0.6,
1033
- "r":0.75,
1034
- "f":0.6666666667
 
 
 
 
 
1035
  }
1036
- }
 
1037
  },
1038
  "sources":[
1039
  {
@@ -1043,7 +1051,7 @@
1043
  "author":"Michal M\u011bchura"
1044
  },
1045
  {
1046
- "name":"UD Romanian RRT v2.5",
1047
  "url":"https://github.com/UniversalDependencies/UD_Romanian-RRT",
1048
  "license":"CC BY-SA 4.0",
1049
  "author":"Barbu Mititelu, Verginica; Irimia, Elena; Perez, Cenel-Augusto; Ion, Radu; Simionescu, Radu; Popel, Martin"
 
1
  {
2
  "lang":"ro",
3
  "name":"core_news_lg",
4
+ "version":"3.2.0",
5
  "description":"Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"CC BY-SA 4.0",
10
+ "spacy_version":">=3.2.0,<3.3.0",
11
+ "spacy_git_version":"bb26550e2",
12
  "vectors":{
13
  "width":300,
14
  "vectors":500000,
 
30
  "Afp",
31
  "Afp-p-n",
32
  "Afp-poy",
33
+ "Afp-srn",
34
  "Afpf--n",
35
  "Afpfp-n",
36
  "Afpfp-ny",
 
132
  "Ds2ms-s",
133
  "Ds3---p",
134
  "Ds3---s",
135
+ "Ds3---sy",
136
  "Ds3fp-s",
137
  "Ds3fsos",
138
  "Ds3fsrs",
 
161
  "LSQR",
162
  "LT",
163
  "M",
 
164
  "Mc-p-d",
165
  "Mc-p-l",
166
+ "Mc-s-b",
167
+ "Mc-s-d",
168
+ "Mc-s-l",
169
  "Mcfp-l",
170
  "Mcfp-ln",
171
  "Mcfprln",
172
  "Mcfprly",
173
  "Mcfsoln",
174
+ "Mcfsrl",
175
  "Mcfsrln",
176
+ "Mcfsrly",
177
  "Mcmp-l",
178
  "Mcms-ln",
179
  "Mcmsrl",
180
+ "Mcmsrln",
181
  "Mcmsrly",
182
  "Mffprln",
183
  "Mffsrln",
 
250
  "Pd3mpr--y",
251
  "Pd3mso",
252
  "Pd3msr",
 
253
  "Pi3--r",
254
  "Pi3-po",
255
  "Pi3-so",
 
295
  "Pp3-po--------s",
296
  "Pp3-sd--------w",
297
  "Pp3-sd--y-----w",
298
+ "Pp3-so--------s",
299
  "Pp3fpa--------w",
300
  "Pp3fpa--y-----w",
301
  "Pp3fpr--------s",
 
322
  "Ps2fp-s",
323
  "Ps2fsrp",
324
  "Ps2fsrs",
 
325
  "Ps3---p",
326
  "Ps3---s",
327
  "Ps3fp-s",
 
354
  "RPAR",
355
  "RSQR",
356
  "Rc",
 
357
  "Rgp",
358
  "Rgpy",
359
  "Rgs",
 
411
  "Va--3s",
412
  "Va--3s----y",
413
  "Vag",
414
+ "Vag-------y",
415
  "Vaii1",
416
  "Vaii2s",
417
  "Vaii3p",
 
481
  "Vmp--sm",
482
  "Vmp--sm---y",
483
  "Vmsp1p",
484
+ "Vmsp2p",
485
  "Vmsp2s",
486
  "Vmsp3",
487
  "Vmsp3-----y",
 
494
  "Ynmsoy",
495
  "Ynmsry",
496
  "Yp",
497
+ "Yp,Yn",
498
  "Yp-sr",
499
  "Yr"
500
  ],
 
532
  "iobj",
533
  "mark",
534
  "nmod",
 
 
535
  "nmod:tmod",
536
  "nsubj",
537
  "nsubj:pass",
538
  "nummod",
539
  "obj",
540
  "obl",
541
+ "obl:agent",
542
+ "obl:pmod",
543
  "orphan",
544
  "parataxis",
545
  "punct",
 
597
  ],
598
  "performance":{
599
  "token_acc":0.9990029326,
600
+ "token_p":0.9967350492,
601
+ "token_r":0.9957244934,
602
+ "token_f":0.9959492157,
603
+ "tag_acc":0.9664291788,
604
+ "sents_p":0.954787234,
605
+ "sents_r":0.954787234,
606
+ "sents_f":0.954787234,
607
+ "dep_uas":0.8897462438,
608
+ "dep_las":0.8389686971,
609
+ "dep_las_per_type":{
610
+ "root":{
611
+ "p":0.8786231884,
612
+ "r":0.9133709981,
613
+ "f":0.8956602031
 
 
 
 
614
  },
615
+ "mark":{
616
+ "p":0.9288389513,
617
+ "r":0.9358490566,
618
+ "f":0.9323308271
619
  },
620
+ "case":{
621
+ "p":0.9638554217,
622
+ "r":0.959880015,
623
+ "f":0.9618636107
624
  },
625
+ "nmod:tmod":{
626
+ "p":0.6842105263,
627
+ "r":0.1092436975,
628
+ "f":0.1884057971
629
  },
630
+ "amod":{
631
+ "p":0.9172297297,
632
+ "r":0.9250425894,
633
+ "f":0.9211195929
634
  },
635
+ "nsubj":{
636
+ "p":0.8803986711,
637
+ "r":0.8372827804,
638
+ "f":0.8582995951
639
  },
640
+ "nmod":{
641
+ "p":0.8218838527,
642
+ "r":0.8286326312,
643
+ "f":0.8252444444
644
  },
645
+ "aux":{
646
+ "p":0.9867924528,
647
+ "r":0.9561243144,
648
+ "f":0.9712163417
649
  },
650
+ "advcl":{
651
+ "p":0.5862068966,
652
+ "r":0.6390977444,
653
+ "f":0.6115107914
654
  },
655
+ "obj":{
656
+ "p":0.8326180258,
657
+ "r":0.896073903,
658
+ "f":0.8631813126
659
  },
660
+ "det":{
661
+ "p":0.9575688073,
662
+ "r":0.9456398641,
663
+ "f":0.9515669516
664
  },
665
+ "cc":{
666
+ "p":0.9340425532,
667
+ "r":0.9164926931,
668
+ "f":0.9251844046
669
  },
670
+ "conj":{
671
+ "p":0.6115288221,
672
+ "r":0.5654692932,
673
+ "f":0.5875978326
674
  },
675
+ "nummod":{
676
+ "p":0.887675507,
677
+ "r":0.8835403727,
678
+ "f":0.8856031128
679
  },
680
+ "acl":{
681
+ "p":0.8063583815,
682
+ "r":0.7209302326,
683
+ "f":0.761255116
684
  },
685
+ "advmod":{
686
+ "p":0.8117048346,
687
+ "r":0.8416886544,
688
+ "f":0.8264248705
689
  },
690
+ "obl":{
691
+ "p":0.6821052632,
692
+ "r":0.8223350254,
693
+ "f":0.7456846951
694
  },
695
+ "expl:pass":{
696
+ "p":0.8085106383,
697
+ "r":0.7037037037,
698
+ "f":0.7524752475
699
  },
700
+ "nsubj:pass":{
701
+ "p":0.8,
702
+ "r":0.756097561,
703
+ "f":0.7774294671
704
  },
705
+ "fixed":{
706
+ "p":0.9,
707
+ "r":0.8562367865,
708
+ "f":0.8775731311
709
  },
710
+ "appos":{
711
+ "p":0.4956896552,
712
+ "r":0.4389312977,
713
+ "f":0.4655870445
714
  },
715
+ "parataxis":{
716
+ "p":0.1627906977,
717
+ "r":0.2,
718
+ "f":0.1794871795
719
  },
720
+ "aux:pass":{
721
+ "p":0.9125,
722
+ "r":0.9733333333,
723
+ "f":0.9419354839
724
+ },
725
+ "nmod:agent":{
726
  "p":0.0,
727
  "r":0.0,
728
  "f":0.0
 
 
 
 
 
 
 
729
  },
730
+ "ccomp":{
731
+ "p":0.8759689922,
732
+ "r":0.8759689922,
733
+ "f":0.8759689922
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
734
  },
735
+ "nmod:pmod":{
736
  "p":0.0,
737
  "r":0.0,
738
  "f":0.0
739
  },
740
+ "iobj":{
741
+ "p":0.8157894737,
742
+ "r":0.7654320988,
743
+ "f":0.7898089172
 
 
 
 
 
744
  },
745
  "flat":{
746
+ "p":0.7557251908,
747
+ "r":0.7815789474,
748
+ "f":0.7684346701
749
  },
750
+ "cop":{
751
+ "p":0.8524590164,
752
+ "r":0.8387096774,
753
+ "f":0.8455284553
754
  },
755
+ "csubj":{
756
+ "p":0.8235294118,
757
+ "r":0.6666666667,
758
+ "f":0.7368421053
759
  },
760
+ "obl:agent":{
761
+ "p":0.0,
762
+ "r":0.0,
763
+ "f":0.0
764
  },
765
+ "dep":{
766
+ "p":0.0,
767
+ "r":0.0,
768
+ "f":0.0
769
  },
770
  "expl:pv":{
771
+ "p":0.7564102564,
772
+ "r":0.8550724638,
773
+ "f":0.8027210884
 
 
 
 
 
 
 
 
 
 
774
  },
775
+ "expl":{
776
+ "p":0.6875,
777
+ "r":0.8148148148,
778
+ "f":0.7457627119
 
 
 
 
 
 
 
 
 
 
779
  },
780
+ "obl:pmod":{
781
+ "p":0.0,
782
+ "r":0.0,
783
+ "f":0.0
784
  },
785
  "expl:poss":{
786
+ "p":0.9655172414,
787
+ "r":0.9032258065,
788
+ "f":0.9333333333
789
  },
790
+ "goeswith":{
 
 
 
 
 
791
  "p":0.0,
792
  "r":0.0,
793
  "f":0.0
794
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
795
  "xcomp":{
796
+ "p":0.5806451613,
797
+ "r":0.6666666667,
798
+ "f":0.6206896552
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
799
  },
800
+ "orphan":{
801
  "p":0.0,
802
  "r":0.0,
803
  "f":0.0
804
  },
805
+ "expl:impers":{
806
+ "p":1.0,
807
+ "r":0.3333333333,
808
+ "f":0.5
809
  },
810
+ "csubj:pass":{
811
  "p":0.0,
812
  "r":0.0,
813
  "f":0.0
814
  },
 
 
 
 
 
 
 
 
 
 
815
  "compound":{
816
+ "p":0.5714285714,
817
+ "r":0.5714285714,
818
+ "f":0.5714285714
819
  },
820
+ "list":{
821
  "p":0.0,
822
  "r":0.0,
823
  "f":0.0
824
  },
825
+ "ccomp:pmod":{
 
 
 
 
 
826
  "p":0.25,
827
  "r":0.3333333333,
828
  "f":0.2857142857
829
  },
830
+ "cc:preconj":{
831
  "p":0.0,
832
  "r":0.0,
833
  "f":0.0
834
+ }
835
+ },
836
+ "pos_acc":0.9405873228,
837
+ "morph_acc":0.9510657636,
838
+ "morph_micro_p":0.9896160458,
839
+ "morph_micro_r":0.9582489383,
840
+ "morph_micro_f":0.9706797273,
841
+ "morph_per_feat":{
842
+ "Case":{
843
+ "p":0.9938697318,
844
+ "r":0.9896985883,
845
+ "f":0.9917797744
846
+ },
847
+ "Gender":{
848
+ "p":0.991821842,
849
+ "r":0.9854981873,
850
+ "f":0.9886499028
851
+ },
852
+ "Number":{
853
+ "p":0.9894903379,
854
+ "r":0.922363847,
855
+ "f":0.9547486643
856
+ },
857
+ "Person":{
858
+ "p":0.9911452184,
859
+ "r":0.9893930466,
860
+ "f":0.9902683574
861
+ },
862
+ "PronType":{
863