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.

데이터와 리소스

추가 정보

필드 값
소스 http://www.linguateca.pt/aval_conjunta/HAREM/harem_ing.html
저자 André Pires
최종 업데이트 11월 15, 2018, 10:38 (UTC)
생성됨 6월 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