DMCA
A Text Mining Approach for Definition Question Answering, to appear (2006)
| Venue: | in Proceedings for the Fifth International Conference on Natural Language Processing (FinTal 2006 |
| Citations: | 5 - 4 self |
BibTeX
@INPROCEEDINGS{Denicia-carral06atext,
author = {Claudia Denicia-carral and Manuel Montes-y-gómez and Luis Villaseñor-pineda and René García Hernández},
title = {A Text Mining Approach for Definition Question Answering, to appear},
booktitle = {in Proceedings for the Fifth International Conference on Natural Language Processing (FinTal 2006},
year = {2006}
}
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Abstract
Abstract. This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person’s positions and acronym’s descriptions. It considers two main steps. First, it applies a sequence-mining algorithm to discover a set of definition-related text patterns from the Web. Then, using these patterns, it extracts a collection of concept-description pairs from a target document database, and applies the sequence-mining algorithm to determine the most adequate answer to a given question. Experimental results on the Spanish CLEF 2005 data set indicate that this method can be a practical solution for answering this kind of definition questions, reaching a precision as high as 84%. 1
Keyphrases
text mining approach definition question answering sequence-mining algorithm definition question concept-description pair spanish clef target document database surface text pattern practical solution data set adequate answer definition-related text pattern acronym description person position experimental result main step
