Question Classification Based on Word Association for Question and Answer Archives
نویسندگان
چکیده
منابع مشابه
MixKMeans: Clustering Question-Answer Archives
Community-driven Question Answering (CQA) systems that crowdsource experiential information in the form of questions and answers and have accumulated valuable reusable knowledge. Clustering of QA datasets from CQA systems provides a means of organizing the content to ease tasks such as manual curation and tagging. In this paper, we present a clustering method that exploits the two-part question...
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Question and answer pairs in Community Question Answering (CQA) services are organized into hierarchical structures or taxonomies to facilitate users to find the answers for their questions conveniently. We observe that different CQA services have their own knowledge focus and used different taxonomies to organize their question and answer pairs in their archives. As there are no simple semanti...
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Our QA system consists of two different components. One is for the factoid and list questions, and the other is for the other questions. The components are processed individually, and each result is combined into our submitted run. For the factoid questions, we have tried to find answers by proximity-based named entity search. Given a question, fine-grained named entities for candidate answers ...
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The large scale of Q&A archives accumulated in community based question answering (CQA) servivces are important information and knowledge resource on the web. Question and answer matching task has been attached much importance to for its ability to reuse knowledge stored in these systems: it can be useful in enhancing user experience with recurrent questions. In this paper, a Word Embedding bas...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2010
ISSN: 1598-284X
DOI: 10.3745/kipstb.2010.17b.4.327