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Towards Interrogative Types in Task-Oriented Dialogue Systems

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Natural Language Processing and Information Systems (NLDB 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7337))

Abstract

The classification of questions and the identification of their respective answer types are crucial for different parts of a dialogue system and especially important for Rapid Application Development purposes. A common taxonomy of question types helps to connect parsers, grammars, pattern-based language generation methods and the natural language understanding module. Thus, in this paper we will present an overview of different question types and propose an abstract question description.

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References

  1. Bunt, H., Alexandersson, J., et al.: Towards an ISO Standard for Dialogue Act Annotation. In: LREC (2010)

    Google Scholar 

  2. Eduard, H., Gerber, L.: et al.: Question Answering in Webclopedia. In: Proceedings of the Ninth Text Retrieval Conference, pp. 655–664 (2000)

    Google Scholar 

  3. Graesser, A., Rus, V., Cai, Z.: Question classification schemes. In: Workshop on the Question Generation Shared Task and Evaluation Challenge pp. 8–9 (2008)

    Google Scholar 

  4. Hirschman, L., Gaizauskas, R.: Natural language question answering: the view from here. Nat. Lang. Eng. 7, 275–300 (2001)

    Article  Google Scholar 

  5. Moldovan, D.I., et al.: LASSO: A Tool for Surfing the Answer Net. In: Text Retrieval Conference (1999)

    Google Scholar 

  6. Srihari, R., Li, W.: Information Extraction Supported Question Answering. In: Proceedings of the Eighth Text Retrieval Conference (TREC-8), pp. 185–196 (1999)

    Google Scholar 

  7. Stokhof, M., Groenendijk, J.: Handbook of Logic and Language, ch.19, p. 21. Elsevier Science B.V (1994)

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© 2012 Springer-Verlag Berlin Heidelberg

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Berg, M.M., Düsterhöft, A., Thalheim, B. (2012). Towards Interrogative Types in Task-Oriented Dialogue Systems. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_38

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  • DOI: https://doi.org/10.1007/978-3-642-31178-9_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31177-2

  • Online ISBN: 978-3-642-31178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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