| Título |
JU_CSE_NLP: Multi-grade Classification of Semantic Similarity
Between Text Pairs |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
Association for Computational Linguistics (ACL) |
| Resumen |
This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval- 2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity and confidence score. Similarity score is one kind of multi way classification in the form of grade between 0 to 5. We have submitted one run for the STS task. Our system has two basic modules - one deals with lexical relations and another deals with dependency based syntactic relations of the text pair. Similarity score given to a pair is the average of the scores of the above-mentioned modules. The scores from each module are identified using rule based echniques. The Pearson Correlation of our system in the task is 0.3880. |
| Observaciones |
SEM 2012: The First Joint Conference on Lexical and Computational Semantics |
| Lugar |
Montreal |
| País |
Canada |
| No. de páginas |
571-574 |
| Vol. / Cap. |
Vol 1 y 2 |
| Inicio |
2012-06-07 |
| Fin |
2012-06-08 |
| ISBN/ISSN |
978-1-937284-21-3 |
