Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2008/paper/803> ?p ?o. }
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- 803 creator eugene-agichtein.
- 803 creator hongyuan-zha.
- 803 creator jiang-bian.
- 803 creator yandong-liu.
- 803 type InProceedings.
- 803 label "Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media".
- 803 sameAs 803.
- 803 abstract "Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, when precise factual information is desired, such as an obscure piece of trivia, it is now effective to simply post a question on a popular community QA site such as Yahoo! Answers, and to rely on other users to provide answers, often within minutes. The importance of such community QA sites is magnified as they create archives for millions of questions and hundreds of millions of answers, many of which are invaluable for the information needs of other searchers. However, to make this immense body of knowledge accessible, effective search and answer retrieval is required. In particular, precisely because any user can contribute to a question, the majority of the content reflects personal, often unsubstantiated opinions. A ranking that combines both relevance and quality is required to make such archives usable for factual information retrieval. This task is challenging, as the structure and the content of community QA archive differ significantly from the web. In this paper we present a general ranking framework for factual information retrieval from social media. We show that our method is significantly more accurate than existing state of the art at retrieving well-formed, factual answers to questions, as evaluated on a standard QA benchmark. We demonstrate that our learning framework can be tuned with the minimum of human labeling. Finally, we provide result analysis to gain deeper understanding of which features are significant for social media search and retrieval. Our system can be used as a crucial building block for combining results from a variety of social media content with general web search results, and to better integrate social media content for effective information access.".
- 803 hasAuthorList authorList.
- 803 hasTopic World_Wide_Web.
- 803 isPartOf proceedings.
- 803 keyword "learning ranking functions".
- 803 keyword "question answering".
- 803 keyword "social media".
- 803 title "Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media".