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» A Noisy-Channel Approach to Question Answering
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COLING
2008
14 years 11 months ago
Classifying What-Type Questions by Head Noun Tagging
Classifying what-type questions into proper semantic categories is found more challenging than classifying other types in question answering systems. In this paper, we propose to ...
Fangtao Li, Xian Zhang, Jinhui Yuan, Xiaoyan Zhu
71
Voted
EMNLP
2008
14 years 11 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin
CLEF
2007
Springer
15 years 3 months ago
Using Recognizing Textual Entailment as a Core Engine for Answer Validation
This paper is about our approach to answer validation, which centered by a Recognizing Textual Entailment (RTE) core engine. We first combined the question and the answer into Hypo...
Rui Wang, Günter Neumann
LREC
2008
110views Education» more  LREC 2008»
14 years 11 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
TREC
2001
14 years 11 months ago
University of Alicante at TREC-10
This paper describes the architecture, operation and results obtained with the Question Answering prototype developed in the Department of Language Processing and Information Syst...
José Luis Vicedo González, Antonio F...