Unsupervised Approaches for Computing Word Similarity in Portuguese

AuthID
 P-00N-0YB
1
Author(s)
4
Editor(s)
Oliveira,E;Gama,J;Vale,Z;Cardoso,HL
Document Type
Proceedings Paper
Year published
2017
Published
in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017) in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743
Volume: 10423, Pages: 828-840 (13)
Conference
18Th Epia Conference on Artificial Intelligence (Epia), Date: SEP 05-08, 2017, Location: Univ Porto, Fac Engn, Porto, PORTUGAL, Sponsors: EPIA, Univ Porto, Artificial Intelligence & Comp Sci Lab, INESC TEC, Lab Artificial Intelligence & Decis Support, Inst Engn Polytechn Porto, Intelligent Engn & Comp Adv Innovat & Dev Res Grp, Host: Univ Porto, Fac Engn
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Wos®
Scopus®
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Publication Identifiers
Scopus: 2-s2.0-85028968692
Wos: WOS:000452455800067
Source Identifiers
ISSN: 0302-9743
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