| Título |
Recognizing Textual Entailment with a Semantic Edit Distance Metric |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Xplore Digital Lubrary; 11th Mexican International Conference on Artificial Intelligence 2012: Advances in Artificial Intelligence and Applications, MICAI 2012 |
| Resumen |
We present a Recognizing Textual Entailment(RTE) system based on different similarity metrics. The metrics used are string-based metrics and the Semantic Edit Distance Metric, which is proposed in this paper to address limitations of known semantic-based metrics and to support the decisions made by a simple method based on lexical similarity metrics.We add the scores of the metrics as features for a machine learning algorithm. The performance of our system is comparable with the average performance of the Recognizing Textual Entailment Challenges, though lower than that of the state-of-the-art methods. |
| Observaciones |
Article number 6389591; Category numberP4904; Code 95021 |
| Lugar |
San Luis Potosi |
| País |
Mexico |
| No. de páginas |
15-20 |
| Vol. / Cap. |
2012 |
| Inicio |
2012-10-27 |
| Fin |
2012-11-04 |
| ISBN/ISSN |
978-076954904-0 |
