JU-Evora: A graph based cross-level semantic similarity analysis using discourse information
| dc.contributor.author | Ghosh, Swarnendu | |
| dc.contributor.author | Das, Nibaran | |
| dc.contributor.author | Gonçalves, Teresa | |
| dc.contributor.author | Quaresma, Paulo | |
| dc.date.accessioned | 2015-04-01T09:20:50Z | |
| dc.date.available | 2015-04-01T09:20:50Z | |
| dc.date.issued | 2014 | |
| dc.description.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. | por |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | tcg@uevora.pt | |
| dc.identifier.authoremail | pq@uevora.pt | |
| dc.identifier.scientificarea | 283 | por |
| dc.identifier.uri | http://hdl.handle.net/10174/13965 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | ACL | por |
| dc.rights | restrictedAccess | por |
| dc.title | JU-Evora: A graph based cross-level semantic similarity analysis using discourse information | por |
| dc.type | article | por |
| degois.publication.title | SemEval 2014 – 8th International Workshop on Semantic Evaluation | por |