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Web Question Answering: Is More Always Better? (2002) [88 citations — 7 self]

by Susan Dumais ,  Michele Banko ,  Eric Brill ,  Jimmy Lin ,  Andrew Ng
In Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval
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Abstract:

This paper describes a question answering system that is designed to capitalize on the tremendous amount of data that is now available online. Most question answering systems use a wide variety of linguistic resources. We focus instead on the redundancy available in large corpora as an important resource. We use this redundancy to simplify the query rewrites that we need to use, and to support answer mining from returned snippets. Our system performs quite well given the simplicity of the techniques being utilized. Experimental results show that question answering accuracy can be greatly improved by analyzing more and more matching passages. Simple passage ranking and n-gram extraction techniques work well in our system making it efficient to use with many backend retrieval engines.

Citations

126 Scaling question answering to the Web – Kwok, Etzioni, et al. - 2001
104 Data-intensive question answering – Brill, Lin, et al. - 2001
72 Exploiting redundancy in question answering – Clarke, Cormack, et al. - 2001
61 Question answering in webclopedia – Hovy, Hermjakob, et al. - 2000
48 An analysis of the askmsr questionanswering system – Brill, Dumais, et al. - 2002
46 Learning search engine specific query transformations for question answering – Agichtein, Lawrence, et al. - 2001
41 The use of external knowledge in factoid QA – Hovy, Hermjakob, et al. - 2001
33 Answer extraction – Abney, Collins, et al. - 2000
31 Mining the Web for answers to natural language questions – Radev, Qi, et al. - 2001
18 Using grammatical relations, answer frequencies and the World Wide Web for TREC question answering – Buchholz - 2001
18 Question answering by predictive annotation – Prager, Brown, et al. - 2000
15 Web reinforced question answering – Clarke, Cormack, et al. - 2002
9 Question answering: CNLP at the TREC-10 question answering track – Chen, Diekema, et al. - 2002
8 FALCON: Boosting knowledge for question answering – Harabagiu, Moldovan, et al. - 2000
6 Harabagiu (2001). High performance question/answering – Pasca, M
2 Soubbotin (2002). Patterns and potential answer expressions as clues to the right answers – Soubbotin, M - 2001