Quality-Aware Collaborative Question Answering:Methods and Evaluation
Conference Proceeding Article
Community Question Answering (QA) portals contain questions and answers contributed by hundreds of millions of users. These databases of questions and answers are of great value if they can be used directly to answer questions from any user. In this research, we address this collaborative QA task by drawing knowledge from the crowds in community QA portals such as Yahoo! Answers. Despite their popularity, it is well known that answers in community QA portals have unequal quality. We therefore propose a quality-aware framework to design methods that select answers from a community QA portal considering answer quality in addition to answer relevance. Besides using answer features for determining answer quality, we introduce several other quality-aware QA methods using answer quality derived from the expertise of answerers. Such expertise can be question independent or question dependent. We evaluate our proposed methods using a database of 95K questions and 537K answers obtained from Yahoo! Answers. Our experiments have shown that answer quality can improve QA performance significantly. Furthermore, question dependent expertise based methods are shown to outperform methods using answer features only. It is also found that there are also good answers not among the best answers identified by Yahoo! Answers users.
answer quality, expertise, question answering
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining
SURYANTO, Maggy Anastasia; LIM, Ee Peng; SUN, Aixin; and CHIANG, Roger Hsiang-Li.
Quality-Aware Collaborative Question Answering:Methods and Evaluation. (2009). WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining. 142-151. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/451
This document is currently not available here.