• For extraction of procedural expressions, functional words and patterns areeffective.In the next step, I need to perform the same task using a bigger data. Inthis thesis, there are too few lists in each specific domain of the data set withinthe Others domain to reveal its precise nature. I also have to explore the nestedstructure of lists and the nominal list type.In closing, I consider that fully automatic descriptive answer extraction ispossible. The next step of this study is making an ensemble of human annotatedsemantic meta-data and computer extracted features when the computer actuallyextracts an answer. I aim to explore schemes that more directly exploit humanannotation to extract answers that are more relevant for user questions.84
References[1] Takeshi Abekawa and Manabu Okumura. Analysis of Japanese relativeclauses. Journal of Natural Language Processing, Vol. 12, No. 1, pp. 107–124, January 2005.[2] Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for miningassociation rulesr. In Proceedings of 20th International Conference VeryLarge Data Bases (VLDB), pp. 487–499, 1994.[3] Hassan Alam, Rachmat Hartono, Aman Kumar, Fuad Rahman, YuliyaTarnikova, and Che Wilcox. Web page summarization for handheld devices:A natural language approach. In Proceedings of Seventh InternationalConference on Document Analysis and Recognition (ICDAR’03), pp.1153–1157, 2003.[4] Hassan Alam, Fuad Rahman, Yuliya Tarnikova, and Aman Kumar. Whenis a list is a list?: Web page re-authoring for small display devices. InProceedings of International World Wide Web Conferences (WWW) 2003,2003.[5] Farida Aouladomar. Towards answering procedural questions. In KRAQ’05- IJCAI workshop, July 2005.[6] Naoki Asanoma, Osamu Furuse, and Ryoji Kataoka. Feature analysis ofexplanatory documents for how-to type question answering. In IPSJ SIGNotes NL-168, pp. 55–60, 2005. in Japanese.[7] Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval.Addison-Wesley, 1999.[8] Amit Bagga and Breck Baldwin. Entity-based cross-document coreferencingusing the vector space model. In Proceedings of COLING-ACL’98, pp. 79–85. Association for Computational Linguistics, 1998.[9] Avron Barr, Paul R. Cohen, and Edward A. Feigenbaum. The Handbook ofArtificial Intelligence. Kyoritsu Shuppan, Tokyo, 1989. Japanese EditionTranslated by K. Tanaka and K Fuchi.85
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Figure 3.2. Combinations of Questio
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Plants can grow indoors. In additio
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this thesis. This Chapter proposes
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