| Título |
A Statistics-Based Semantic Textual Entailment System |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science |
| Resumen |
We present a Textual Entailment (TE) recognition system that uses semantic features based on the Universal Networking Language (UNL). The proposed TE system compares the UNL relations in both the text and the hypothesis to arrive at the two-way entailment decision. The system has been separately trained on each development corpus released as part of the Recognizing Textual Entailment (RTE) competitions RTE-1, RTE-2, RTE-3 and RTE-5 and tested on the respective RTE test sets. |
| Observaciones |
10th Mexican International Conference on Artificial Intelligence, MICAI 2011; Code 87491 |
| Lugar |
Puebla |
| País |
Mexico |
| No. de páginas |
267-276 |
| Vol. / Cap. |
Vol. 7094, Issue 1 |
| Inicio |
2011-11-26 |
| Fin |
2011-12-04 |
| ISBN/ISSN |
978-364225323-2 |
