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Analysing Semantic Resources for Coreference Resolution
Lima, Thiago1; Collovini, Sandra1; Leal, Ana2; Fonseca, Evandro1; Han, Xiaoxuan2; Huang, Siyu2; Vieira, Renata1
2018
Conference Name13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11122 LNAI
Pages284-293
Conference Date9 24, 2018 - 9 26, 2018
Conference PlaceCanela, Brazil
Author of SourceSpringer Verlag
Abstract

This paper compares the use of two different semantic bases, Onto.PT and ConceptNet, for the purpose of coreference resolution in the Portuguese language. These semantic bases have relations such as hyponymy and synonymy that may indicate a coreference relationship between two or more mentions. Quantitative and qualitative analyses of the impact of semantic information in coreference resolution are discussed. © 2018, Springer Nature Switzerland AG.

DOI10.1007/978-3-319-99722-3_29
Language英語English
WOS IDWOS:000788007400029
Scopus ID2-s2.0-85053864225
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil;
2.University of Macau, Macau, China
Recommended Citation
GB/T 7714
Lima, Thiago,Collovini, Sandra,Leal, Ana,et al. Analysing Semantic Resources for Coreference Resolution[C]. Springer Verlag, 2018, 284-293.
APA Lima, Thiago., Collovini, Sandra., Leal, Ana., Fonseca, Evandro., Han, Xiaoxuan., Huang, Siyu., & Vieira, Renata (2018). Analysing Semantic Resources for Coreference Resolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11122 LNAI, 284-293.
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