Finding the right facts in the crowd: factoid question answering over social media

By Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha. 2008

316 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Information Systems, Information Retrieval & Search, Question Answering & Reading Comprehension

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Citations in the corpus

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases (2016, background): “, as primitives in information extraction, knowledge base population [10, 52], and question-answering systems [48, 3].”
Causal discovery in social media using quasi-experimental designs (2010, background): “Bian and coauthors [5] considered question-answer platforms as a form of information retrieval, and here, we further consider them as a form of knowledge discovery.”
Learning to recognize reliable users and content in social media with coupled mutual reinforcement (2009, methodology): “[3] developed a ranking system to retrieve relevant and high-quality answers, but they did not explicitly”
A Comprehensive Survey and Classification of Approaches for Community Question Answering (2016, methodology): “Bian et al. [2009] proposed a semi-supervised coupled mutual reinforcement framework in which question/answer quality and user expertise are calculated simultaneously.”
How do programmers ask and answer questions on the web?: NIER track (2011, background): “Questions and answers on Q&A websites represent archives with millions of entries that are of value to the community [3].”
Entity based Q&A Retrieval (2012, background): “…models: Other work on question retrieval include the use of category information available (Cao et al., 2010), learning-to-rank techniques (Bian et al., 2008; Surdeanu et al., 2008; Bunescu and Huang, 2010), proposed a syntactic tree matching ((Wang et al., 2009) or question structure for…”
Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “Reference [35] ranked the retrieved documents in QA using social media search and web search.”