Abstract
In this work, a data-driven approach for extracting answers from web-snippets is presented. Answers are identified by matching contextual distributional patterns of the expected answer type(EAT) and answer candidates. These distributional patterns are directly learnt from previously annotated tuples {question, sentence, answer}, and the learning mechanism is based on the principles language acquisition. Results shows that this linguistic motivated data-driven approach is encouraging.
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Schütze, H.: Ambiguity Resolution in Language Learning, Computational and Cognitive Models. CSLI Lecture Notes, number 71 (1997)
Belkin, M., Goldsmith, J.: Using eigenvectors of the bi-gram graph to infer grammatical features and categories. In: Proceedings of the Morphology/Phonology Learning Workshop of ACL 2002 (2002)
Pinker, S.: Language Learnability and Language Development. Hardvard University Press, Cambridge (1984)
Rijke, M., Monz, C.: Tequesta: The University of Amsterdam’s Textual Question Answering System, NIST Special Publication SP (2002)
Lita, L.V., Carbonell, J.: Instance-based question answering: a data driven approach. In: Proceedings of EMNLP (2004)
Dumais, S., Banko, M., Brill, E., Lin, J., Ng, A.: Web question answering: is more always better? In: Proceedings of SIGIR-2002 (2002)
Dumais, S., Banko, M., Brill, E., Lin, J., Ng, A.: Data-Intensive question answering. In: Proceedings of the tenth Text REtrieval Conference (TREC 2001), Gaithersburg, Maryland (November 2001)
De Chalendar, G., Dalmas, T., Elkateb-Gara, F., Ferret, O., Grau, B., Hurault-Planet, M., Illouz, G., Monceaux, L., Robba, I., Vilnat, A.: The question answering system QALC at LIMSI: experiments in using Web and WordNet, NIST Special Publication SP (2003)
Monz, C.: From Document Retrieval to Question Answering, IILC Dissertation Series DS-2003-4, Institute for Logic, Language and Computation, University of Amsterdam (2003)
Echihabi, A., Hermjakob, U., Hovy, E., Marcu, D., Melz, E., Ravichadran, D.: How to select an answer String? Advances in Textual Question Answering. Kluwer, Dordrecht (2004)
Moldovan, D., Harabagui, S., Clark, C., Bowden, M., Lehmann, J., Williams, J.: Experiments and Analysis of LCC’s two QA Systems over TREC 2004. In: TREC 2004 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Figueroa, A., Atkinson, J. (2006). Using Syntactic Distributional Patterns for Data-Driven Answer Extraction from the Web. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_94
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DOI: https://doi.org/10.1007/11925231_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49026-5
Online ISBN: 978-3-540-49058-6
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