| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000358998 |
| ISSN: | 1870-9044 |
| Autores: | Pakray, Partha1 Poria, Soujanya1 Bandyopadhyay, Sivaji1 Gelbukh, Alexander2 |
| Instituciones: | 1Jadavpur University, Computer Science and Engineering Department, Calcuta, Bengala Occidental. India 2Instituto Politécnico Nacional, Centro de Investigación en Computación, México, Distrito Federal. México |
| Año: | 2011 |
| Periodo: | Ene-Jun |
| Número: | 43 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | A two–way textual entailment (TE) recognition system that uses semantic features has been described in this paper. We have used the Universal Networking Language (UNL) to identify the semantic features. UNL has all the components of a natural language. The development of a UNL based textual entailment system that compares the UNL relations in both the text and the hypothesis has been reported. The semantic TE system has been developed using the RTE–3 test annotated set as a development set (includes 800 text–hypothesis pairs). Evaluation scores obtained on the RTE–4 test set (includes 1000 text–hypothesis pairs) show 55.89% precision and 65.40% recall for YES decisions and 66.50% precision and 55.20% recall for NO decisions and overall 60.3% precision and 60.3% recall |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Vinculación textual, Lenguaje universal de redes |
| Keyword: | Computer science, Literature and linguistics, Data processing, Applied linguistics, Computing linguistics, Textual entailment, Universal networking language |
| Texto completo: | Texto completo (Ver HTML) |
