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Archive · dataset · 2017

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

Listed in INESC TEC Research Data Repository

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

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Stated by source
CS: Computer Science
Inferred from text
Artificial intelligence 69%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
INESC TEC Research Data Repository2dff136a-e9a7-498d-ac58-538194fdbb1f13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].anzsrc:group:4602enrichment · rdm inesctec pttaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].local:field:computer-science-aimapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].local:field:engineeringmapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[topic].ckan_group:rdm_inesctec_pt:cs-computer-sciencesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
created_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
descriptionsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0/notes
license_textsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
publication_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
titlesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0/title
updated_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0