Abstract
Conventional QA systems cannot answer to the questions composed of two or more sentences. Therefore, we aim to construct a QA system that can answer such multiple-sentence questions. As the first stage, we propose a method for classifying multiple-sentence questions into question types. Specifically, we first extract the core sentence from a given question text. We use the core sentence and its question focus in question classification. The result of experiments shows that the proposed method improves F-measure by 8.8% and accuracy by 4.4%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sasaki, Y., Isozaki, H., Hirao, T., Kokuryou, K., Maeda, E.: NTT’s QA Systems for NTCIR QAC-1. Working Notes, NTCIR Workshop 3, Tokyo, pp. 63–70 (2002)
Xu, J., Licuanan, A., Weischedel, R.M.: TREC 2003 QA at BBN: Answering Definitional Questions. In: TREC 2003, pp. 98–106 (2003)
Li, X., Roth, D.: Learning Question Classifiers. In: COLING 2002, Taipei, Taiwan, pp. 556–562 (2002)
Zukerman, I., Horvitz, E.: Using Machine Learning Techniques to Interpret WH-questions. In: ACL 2001, Toulouse, France, pp. 547–554 (2001)
Ittycheriah, A., Franz, M., Zhu, W.-J., Ratnaparkhi, A.: Question Answering Using Maximum Entropy Components. In: NAACL 2001, pp. 33–39 (2001)
Suzuki, J.: Kernels for Structured Data in Natural Language Processing, Doctor Thesis, Nara Institute of Science and Technology (2005)
Zhang, D., Lee, W.S.: Question Classification using Support Vector Machines. In: SIGIR, Toronto, Canada, pp. 26–32 (2003)
Moldovan, D., Harabagiu, S., Pasca, M., Mihalcea, R., Goodrum, R., Girju, R., Rus, V.: Lasso: A Tool for Surfing the Answer Net. In: TREC-8, pp. 175–184 (1999)
Ikehara, S., Miyazaki, M., Shirai, S., Yokoo, A., Nakaiwa, H., Ogura, K., Oyama, Y., Hayashi, Y.(eds.): The Semantic System, vol. 1, Goi-Taikei – A Japanese Lexicon, Iwanami Shoten (1997) (in Japanese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tamura, A., Takamura, H., Okumura, M. (2005). Classification of Multiple-Sentence Questions. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_38
Download citation
DOI: https://doi.org/10.1007/11562214_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29172-5
Online ISBN: 978-3-540-31724-1
eBook Packages: Computer ScienceComputer Science (R0)