Probabilistic model for definitional question answering

Kyoung S. Han, Young I. Song, Hae-Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

This paper proposes a probabilistic model for definitional question answering (QA) that reflects the characteristics of the definitional question. The intention of the definitional question is to request the definition about the question target. Therefore, an answer for the definitional question should contain the content relevant to the topic of the target, and have a representation form of the definition style. Modeling the problem of definitional QA from both the topic and definition viewpoints, the proposed probabilistic model converts the task of answering the definitional questions into that of estimating the three language models: topic language model, definition language model, and general language model. The proposed model systematically combines several evidences in a probabilistic framework. Experimental results show that a definitional QA system based on the proposed probabilistic model is comparable to state-of-the-art systems.

Original languageEnglish
Title of host publicationProceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages212-219
Number of pages8
Volume2006
Publication statusPublished - 2006 Oct 31
Event29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Seatttle, WA, United States
Duration: 2006 Aug 62006 Aug 11

Other

Other29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
CountryUnited States
CitySeatttle, WA
Period06/8/606/8/11

Fingerprint

Question Answering
Language Model
Probabilistic Model
Question Answering System
Target
Convert
Statistical Models
Experimental Results
Modeling
Model

Keywords

  • Definitional question answering
  • Language model
  • Probabilistic model

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Engineering(all)
  • Applied Mathematics

Cite this

Han, K. S., Song, Y. I., & Rim, H-C. (2006). Probabilistic model for definitional question answering. In Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Vol. 2006, pp. 212-219)

Probabilistic model for definitional question answering. / Han, Kyoung S.; Song, Young I.; Rim, Hae-Chang.

Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Vol. 2006 2006. p. 212-219.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, KS, Song, YI & Rim, H-C 2006, Probabilistic model for definitional question answering. in Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. vol. 2006, pp. 212-219, 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seatttle, WA, United States, 06/8/6.
Han KS, Song YI, Rim H-C. Probabilistic model for definitional question answering. In Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Vol. 2006. 2006. p. 212-219
Han, Kyoung S. ; Song, Young I. ; Rim, Hae-Chang. / Probabilistic model for definitional question answering. Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Vol. 2006 2006. pp. 212-219
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