English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers
Título del documento: English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers
Revista: Polibits
Base de datos: PERIÓDICA
Número de sistema: 000368142
ISSN: 1870-9044
Autores: 1
1
1
1
Instituciones: 1National Institute of Information and Communications Technology, Kyoto. Japón
Año:
Periodo: Jul-Dic
Número: 40
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés We describe a method of using multiple documents with decreasing weights as evidence to improve the performance of a question–answering system. We also describe how it was used in cross–language question answering (CLQA) tasks. Sometimes, the answer to a question may be found in multiple documents. In such cases, using multiple documents for prediction generates better answers than using a single document. Therefore, our method uses information from multiple documents by adding the scores of candidate answers extracted from the various documents. Because simply adding scores degrades the performance of question–answering systems, we add scores with decreasing weights to reduce the negative effect of simply adding. We used this method in the CLQA part of NTCIR–5. It was incorporated into a commercially available translation system that carries out cross–language question–answering tasks. Our method obtained relatively good CLQA results
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos,
Aprendizaje de máquinas,
Traducción,
Documentos múltiples,
Lingüística computacional
Keyword: Computer science,
Data processing,
Machine learning,
Translation,
Multiple documents,
Computing linguistics
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