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Title: JU-Evora: A graph based cross-level semantic similarity analysis using discourse information
Authors: Ghosh, Swarnendu
Das, Nibaran
Gonçalves, Teresa
Quaresma, Paulo
Issue Date: 2014
Publisher: ACL
Abstract: Text Analytics using semantic information is the latest trend of research due to its potential to represent better the texts content compared with the bag-of-words approaches. On the contrary, representation of semantics through graphs has several advantages over the tradi- tional representation of feature vector. There- fore, error tolerant graph matching techniques can be used for text comparison. Neverthe- less, not many methodologies exist in the lit- erature which expresses semantic representa- tions through graphs. The present system is designed to deal with cross level semantic similarity analysis as proposed in the SemEval-2014 : Semantic Evaluation, Inter- national Workshop on Semantic Evaluation, Dublin, Ireland.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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