github explosion/spacy-models pl_core_news_md-2.3.0

Downloads

Details: https://spacy.io/models/pl#pl_core_news_md

File checksum: 8ff32b1591d984d03901d8c134281d062eb24e229d8d3a57f46a68bfb69452a6

Polish multi-task CNN trained on the National Corpus of Polish and UD Polish PDB. Assigns word vectors, POS tags, lemmas, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl).

Feature Description
Name pl_core_news_md
Version 2.3.0
spaCy >=2.3.0,<2.4.0
Model size 76 MB
Pipeline  tagger, parser, ner
Vectors 500000 keys, 20000 unique vectors (300 dimensions)
Sources National Corpus of Polish (Mirosław Bańko, Rafał L. Górski, Barbara Lewandowska-Tomaszczyk, Marek Łaziński, Piotr Pęzik, Adam Przepiórkowski)
UD Polish SZ v2.3 (Wróblewska, Alina; Zeman, Daniel; Mašek, Jan; Rosa, Rudolf)
Morfeusz 2 Lemmas from the Grammatical Dictionary of Polish (SGJP) (Marcin Woliński, Zbigniew Bronk, Włodzimierz Gruszczyński, Witold Kieraś, Zygmunt Saloni, Danuta Skowrońska, Robert Wołosz)
OSCAR (Common Crawl)
Wikipedia (20200301)
License GPL
Author Explosion and Ryszard Tuora

Label Scheme

Component Labels
tagger  ADJ, ADJA, ADJC, ADJP, ADV, AGLT, BEDZIE, BREV, BURK, COMP, CONJ, DEPR, FIN, GER, IMPS, IMPT, INF, INTERJ, INTERP, NUM, NUMCOL, PACT, PANT, PCON, PPAS, PPRON12, PPRON3, PRAET, PRED, PREP, QUB, SIEBIE, SUBST, WINIEN, XXX, _SP
parser  ROOT, acl, advcl, advmod, amod, appos, aux, aux:pass, case, cc, ccomp, conj, cop, dep, det, det:numgov, expl:pv, iobj, mark, nmod, nsubj, nsubj:pass, nummod, obj, obl, obl:arg, punct, xcomp
ner  date, geogName, orgName, persName, placeName, time

Accuracy

Type Score
LAS  84.47
UAS  90.41
TOKEN_ACC  99.83
TAGS_ACC  98.28
ENTS_F  84.68
ENTS_P  84.65
ENTS_R  84.70

Installation

pip install spacy
python -m spacy download pl_core_news_md

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