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SIGIR
2003
ACM

Quantitative evaluation of passage retrieval algorithms for question answering

14 years 4 months ago
Quantitative evaluation of passage retrieval algorithms for question answering
Passage retrieval is an important component common to many question answering systems. Because most evaluations of question answering systems focus on end-to-end performance, comparison of common components becomes difficult. To address this shortcoming, we present a quantitative evaluation of various passage retrieval algorithms for question answering, implemented in a framework called Pauchok. We present three important findings: Boolean querying schemes perform well in the question answering task. The performance differences between various passage retrieval algorithms vary with the choice of document retriever, which suggests significant interactions between document retrieval and passage retrieval. The best algorithms in our evaluation employ density-based measures for scoring query terms. Our results reveal future directions for passage retrieval and question answering. Categories and Subject Descriptors H.3.4 [Information Systems]: Information Storage and Retrieval, Systems ...
Stefanie Tellex, Boris Katz, Jimmy J. Lin, Aaron F
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where SIGIR
Authors Stefanie Tellex, Boris Katz, Jimmy J. Lin, Aaron Fernandes, Gregory Marton
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