| Título |
Regression based approaches for detecting and measuring textual similarity |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016 |
| Resumen |
Finding Semantic similarity is an important component in various fields such as information retrieval, question-answering system, machine translation and text summarization. This paper describes two different approaches to find semantic similarity on SemEval 2016 dataset. First method is based on lexical analysis whereas second method is based on distributed semantic approach. Both approaches are trained using feed-forward neural network and layer-recurrent network to predict the similarity score. © 2017, Springer International Publishing AG. |
| Observaciones |
DOI 10.1007/978-3-319-58130-9_14
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10089 |
| Lugar |
Ciudad de México |
| País |
Mexico |
| No. de páginas |
144-152 |
| Vol. / Cap. |
10089 LNAI |
| Inicio |
2016-11-13 |
| Fin |
2016-11-19 |
| ISBN/ISSN |
9783319581293 |
