Lecture-E4

Lecture-E4 - Lecture E Finding the Right Facts in the...

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Lecture E Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media J. Bian, Y. Liu, E. Agichtein, and H. Zha ACM WWW, pp. 467 – 474, 2008
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Introduction Question Answering (QA) Form of information retrieval where the users’ information need is specified in the form of a natural language question The desired result is a self-contained answer , not a list of documents Community Question Answering (CQA) Communities organized around QA, such as Yahoo! Answers and Naver Archive millions of questions and hundreds of millions of answers More effective alternative to web search, since CQA connects users to users who are willing to share information directly Users receive direct responses and thus do not have to browse results of search engines to locate their answers 2
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Challenges Searching for existing answers is crucial to avoid duplication , and save time and efforts to users However, existing search engines are not designed for answering queries that require deep semantic understanding Example . Consider the query “ When is the hurricane season in the Caribbean? ”. Using Yahoo search users still need to click into web pages to find information 3
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Challenges Example (cont.). Yahoo! Answers provides one brief, high-quality answer 4
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Challenges A large portion of CQA content reflects personal, unsubstantiated opinion of users, which are not useful for factual information To retrieve correct factual answers to a question it is necessary to determine the relevance and quality of candidate answers Explicit feedback from users, in the form of “ best answer or “ thumps up/down ” rating, can provide a strong
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Lecture-E4 - Lecture E Finding the Right Facts in the...

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