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Title: Answering Opinion Questions with Random Walks on Graphs
Authors: Li, Fangtao
Tang, Yang
Huang, Minlie
Zhu, Xiaoyan
Date: Aug-2009
Citation: Li, F., Tang, Y., Huang, M., & Zhu, X. (2009). Answering Opinion Questions with Random Walks on Graphs. Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, Suntec, SGP. (p. 737–745).
Abstract: Opinion Question Answering (Opinion QA), which aims to find the authors’ sentimental opinions on a specific target, is more challenging than traditional fact-based question answering problems. To extract the opinion oriented answers, we need to consider both topic relevance and opinion sentiment issues. Current solutions to this problem are mostly ad-hoc combinations of question topic information and opinion information. In this paper, we propose an Opinion PageRank model and an Opinion HITS model to fully explore the information from different relations among questions and answers, answers and answers, and topics and opinions. By fully exploiting these relations, the experiment results show that our proposed algorithms outperform several state of the art baselines on benchmark data set. A gain of over 10% in F scores is achieved as compared to many other systems.
Description: Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP
ISBN: 978-1-932432-45-9 / 1-932432-45-0
Project Number: 104519
Project Title: International Research Chairs Initiative (IRCI)
Access: IDRC Only
Copyright: The Association for Computational Linguistics
The Asian Federation of Natural Language Processing
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.
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