HAREM NER Models for OpenNLP, Stanford CoreNLP, spaCy, NLTK

Pre-trained models for named entity recognition in Portuguese, using the categories, types and subtypes of the Second HAREM dataset as entity classes.

Data og ressourcer

open-nlpZIP
NER models for OpenNLP, for the categories, types and subtypes of HAREM, with...
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stanford-corenlpZIP
NER models for Stanford CoreNLP, for the categories of HAREM, with the best...
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spacyZIP
NER models for spaCy, for the categories, types and subtypes of HAREM, with...
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nltkZIP
NER models for NLTK, for the categories, types and subtypes of HAREM, with...
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Yderligere info

Felt	Værdi
Kilde	http://www.linguateca.pt/aval_conjunta/HAREM/harem_ing.html
Forfatter	André Pires
Last Updated	november 15, 2018, 10:38 (UTC)
Oprettet	juni 13, 2017, 15:40 (UTC)
DOI	http://doi.org/10.23728/b2share.93f011314ce24391a4c317779ccf8068
dc.Coverage.Spatial	Portugal, Brazil
dc.Date	2017
dc.Format	*.zip
dc.Format.Extent	106MB
dc.Language	PT
dc.Publisher	INESC TEC
dc.Relation	Master´s thesis: PIRES, André (2017).Named entity recognition on Portuguese web text. Porto: Faculdade de Engenharia da Universidade do Porto.http://hdl.handle.net/10216/106094
dc.Type	Serialized Models for OpenNLP, Stanford CoreNLP