Follow-up question handling in the IMIX and Ritel systems: A comparative study

Author:

VAN SCHOOTEN B. W.,OP DEN AKKER R.,ROSSET S.,GALIBERT O.,MAX A.,ILLOUZ G.

Abstract

AbstractOne of the basic topics of question answering (QA) dialogue systems is how follow-up questions should be interpreted by a QA system. In this paper, we shall discuss our experience with the IMIX and Ritel systems, for both of which a follow-up question handling scheme has been developed, and corpora have been collected. These two systems are each other's opposites in many respects: IMIX is multimodal, non-factoid, black-box QA, while Ritel is speech, factoid, keyword-based QA. Nevertheless, we will show that they are quite comparable, and that it is fruitful to examine the similarities and differences. We shall look at how the systems are composed, and how real, non-expert, users interact with the systems. We shall also provide comparisons with systems from the literature where possible, and indicate where open issues lie and in what areas existing systems may be improved. We conclude that most systems have a common architecture with a set of common subtasks, in particular detecting follow-up questions and finding referents for them. We characterise these tasks using the typical techniques used for performing them, and data from our corpora. We also identify a special type of follow-up question, the discourse question, which is asked when the user is trying to understand an answer, and propose some basic methods for handling it.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference28 articles.

1. Yang F. , Feng J. , and Di Fabbrizio G. 2006. A data driven approach to relevancy recognition for contextual question answering. In Workshop on Interactive Question Answering, HLT-NAACL 06, New York, USA.

2. Willems D. J. M. , Rossignol S. Y. P. , and Vuurpijl L. G. 2005. Features for mode detection in natural online pen input. In BIGS 2005: Proceedings of the Twelfth Biennial Conference of the International Graphonomics Society, Salerno, Italy, pp. 113–117, Civitella: Editrice Zona.

3. Voorhees E. 2005. Overview of the TREC 2005 question answering track. Technical report, NIST.

4. van Schooten B. , Rosset S. , Galibert O. , Max A. , op den Akker R. , and Illouz G. 2007. Handling speech input in the Ritel QA dialogue system. In Interspeech 2007, pp. 181–206.

5. van Schooten B. , and op den Akker R. 2005. Follow-up proceedings of ntcir-5 workshop meeting, December 6–9, 2005, Tokyo, Japanutterances in QA dialogue. Traitement Automatique des Langues, 46(3): 181–206.

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