Microsoft Research Asia with Redmond at the NTCIR-8 Community QA Pilot Task
نویسندگان
چکیده
In this paper, we describe our approaches that we used for the NTCIR-8 Community QA Pilot task and report on its results. Specifically in the pilot task, we mainly focused on discovering effective features for evaluating quality of answers, for example, features on relevance of an answer to a question, authority of an answerer, or informativeness of an answer. Also, we examined two different statistical learning approaches for finding the best quality answer. The official evaluation results of our runs showed that our proposed features and learning approaches are effective in terms of finding the best quality answers.
منابع مشابه
Overview of the NTCIR-8 Community QA Pilot Task (Part I): The Test Collection and the Task
Identifying high-quality content in community-type Q&A (CQA) sites is important. We propose a task in which a computer identifies good answers from such sites. We describe the design of our bestanswer estimation task using Yahoo! Chiebukuro. We also describe a method of constructing the test collection used for our CQA pilot task, the manual assessment method, and assessment results.
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