JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information
Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma · 2014
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.