Abstract
Question type (or answer type) classification is the task of determining the correct type of the answer expected to a given query. This is often done by defining or discovering syntactic patterns that represent the structure of typical queries of each type, and classify a given query according to which pattern they satisfy. In this paper, we combine the idea of using informer spans as patterns with our own part-of-speech hierarchy in order to propose both a new approach to pattern-based question type classification and a new way of discovering the informers to be used as patterns. We show experimentally that using our part-of-speech hierarchy greatly improves type classification results, and allows our system to learn valid new informers.
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References
Razmara, M., Fee, A., Kosseim, L.: Concordia University at the TREC 2007 QA track. In: Proceedings of the Sixteenth Text REtrieval Conference (TREC 2007), Gaithersburg, USA (2007)
Tomuro, N.: Interrogative reformulation patterns and acquisition of question paraphrases. In: Proceedings of the Second International Workshop on Paraphrasing, Sapporo, Japan, vol. 16, pp. 33–40 (2003)
Sung, C.-L., Day, M.-Y., Yen, H.-C., Hsu, W.-L.: A template alignment algorithm for question classification. In: IEEE International Conference on Intelligence and Security Informatics (ISI 2008), pp. 197–199 (2008)
Krishnan, V., Das, S., Chakrabarti, S.: Enchanced Answer Type Inference from Questions using Sequential Models. In: Proceedings of Human Language Technology Conference / Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), Vancouver, Canada, pp. 315–322 (2005)
Khoury, R., Karray, F., Kamel, M.: Keyword extraction rules based on a part-of-speech hierarchy. International Journal of Advanced Media and Communication 2(2), 138–153 (2008)
Liang, Z., Lang, Z., Jia-Jun, C.: Structure analysis and computation-based Chinese question classification. In: Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007), Luoyang, China, pp. 39–44 (2007)
Tomuro, N.: Question terminology and representation of question type classification. In: Second International Workshop on Computational Terminology, vol. 14 (2002)
Harabagiu, S., Moldovan, D., Pasca, M., Mihalcea, R., Surdeanu, M., Bunescu, R., Girju, R., Rus, V., Morarescu, P.: Falcon: Boosting knowledge for answer engines. In: Proceedings of the 9th Text REtrieval Conference (TREC-9), Gaithersburg, USA, pp. 479–488 (2000)
Zhang, D., Nunamaker, J.F.: A Natural language approach to content-based video indexing and retrieval for interactive e-learning. IEEE Transactions on Multimedia 6(3), 450–458 (2004)
Marcus, M., Santorini, B., Marcinkiewicz, M.A.: Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics 19(2), 313–330 (1993)
Dang, H.T., Kelly, D., Lin, J.: Overview of the TREC 2007 Question Answering Track. In: Proceedings of the Sixteenth Text REtrieval Conference (TREC 2007), Gaithersburg, USA (2007)
Dang, H.T., Lin, J., Kelly, D.: Overview of the TREC 2006 Question Answering Track. In: Proceedings of the Fifteenth Text REtrieval Conference (TREC 2006), Gaithersburg, USA (2006)
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Khoury, R. (2011). Question Type Classification Using a Part-of-Speech Hierarchy. In: Kamel, M., Karray, F., Gueaieb, W., Khamis, A. (eds) Autonomous and Intelligent Systems. AIS 2011. Lecture Notes in Computer Science(), vol 6752. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21538-4_21
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DOI: https://doi.org/10.1007/978-3-642-21538-4_21
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