Abstract
Automatic Question Answering (QA) system has become quite popular in recent years, especially since the QA tracks appeared at Text REtrieval Conference (TREC). However, using only lexical information, the keyword-based information retrieval cannot fully describe the characteristics of natural language, thus the system performance cannot make people satisfied. It is proposed in this paper a definition of dependency term, based on the dependency grammar, employing the natural language dependency structure, as the improvement of the term, to support the typical information retrieval models. It is in fact a solution for a special application in XML information retrieval (XML IR) field. Experiments show that: dependency-term-based information retrieval model effectively describes the characteristics of natural language questions, and improves the performance of automatic question answering system.
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Shi, J., Yuan, X., Yu, S., Ning, H., Wang, C. (2009). Performance Improvement in Automatic Question Answering System Based on Dependency Term. In: Liu, W., Luo, X., Wang, F.L., Lei, J. (eds) Web Information Systems and Mining. WISM 2009. Lecture Notes in Computer Science, vol 5854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05250-7_2
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DOI: https://doi.org/10.1007/978-3-642-05250-7_2
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