Please use this identifier to cite or link to this item:
Title: Summarizing Similar Questions for Chinese Community Question Answering Portals
Authors: Tang, Yang
Li, Fangtao
Huang, Minlie
Zhu, Xiaoyan
Keywords: CQA
Date: 2010
Citation: Tang, Y., Li, F., Huang, M., & Zhu, X. (2010). Summarizing Similar Questions for Chinese Community Question Answering Portals. Proceedings of the 2010 Second International Conference on Information Technology and Computer Science, Kiev, UA. (p. 36-39). doi: 10.1109/ITCS.2010.15
Abstract: As online community question answering (cQA) portals like Yahoo! Answers1 and Baidu Zhidao2 have attracted over hundreds of millions of questions, how to utilize these questions and accordant answers becomes increasingly important for cQA websites. Prior approaches focus on using information retrieval techniques to provide a ranked list of questions based on their similarities to the query. Due to the high variance of question quality and answer quality, users have to spend lots of time on finding the truly best answers from retrieved results. In this paper, we develop an answer retrieval and summarization system which directly provides an accurate and comprehensive answer summary instead of a list of similar questions to user’s query. To fully explore the information of relations between queries and questions, between questions and answers, and between answers and sentences, we propose a new probabilistic scoring model to distinguish high-quality answers from low-quality answers. By fully exploiting these relations, we summarize answers using a maximum coverage model. Experiment results on the data extracted from Chinese cQA websites demonstrate the efficacy of our proposed method.
ISBN: 978-0-7695-4074-0
Project Number: 104519
Project Title: International Research Chairs Initiative (IRCI)
Access Restriction: Due to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d`auteur, le texte intégral de cet extrant de recherche n`est pas accessible dans la Bibliothèque numérique du CRDI, et il n`est pas possible d`en faire la demande à la Bibliothèque du CRDI.
Files in This Item:
There are no files associated with this item.
Show full item record