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QUALIFIER: Question Answering by Lexical Fabric and External Resources (2003) [3 citations — 1 self]

by Hui Yang ,  Tat-Seng Chua
In the Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL’2003
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Abstract:

One of the major challenges in TRECstyle question-answering (QA) is to overcome the mismatch in the lexical representations in the query space and document space. This is particularly severe in QA as exact answers, rather than docmnents, are required in response to questions. Most current approaches overcome the mismatch problem by employing either data redundancy strategy through the use of Web or linguistic resources.

Citations

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31 Logic Form Transformation of WordNet and its Applicability to Question Answering – MOLDOVAN, RUS - 2001
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15 Web reinforced question answering – Clarke, Cormack, et al. - 2002
12 Building semantic perceptron net for topic spotting – Liu, Chua - 2001
8 FALCON: Boosting knowledge for question answering – Harabagiu, Moldovan, et al. - 2000
7 The Effectiveness of Dictionary and Web-Based Answer Reranking – Lin - 2002
3 Data-intensive question answering. Text REtrieval Conference (TREC 2001 – Brill, Dumais, et al. - 2002
1 Symposium Series. 2002. Mining Answers from Text and Knowledge Bases – Spring
1 2001 Building semanticperceptron net for topic spotting – Liu, Chua