Difference between revisions of "Question Classification Method based on Wikipedia in Community-Based Q&A"

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'''Question Classification Method based on Wikipedia in Community-Based Q&A''' - scientific work related to Wikipedia quality published in 2014, written by Fan Yun-ji.
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'''Question Classification Method based on Wikipedia in Community-Based Q&A''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Fan Yun-ji]].
  
 
== Overview ==
 
== Overview ==
A question classification algorithm based on Wikipedia is proposed to classify questions incommunity-based QA system. The algorithm maps feature items of train questions to Wikipedia con-cepts and avoids the problems of synonymy and polysemy by using of redirect and ambiguous page, thenthe low dimensionality and semantic conceptual vector space is built. A modified method of concept corre-lation degree is proposed based on Wikipedia hyperlink structure and category hierarchy in order to en-rich the semantic representation of question. The contrast experiment shows that the algorithm can over-come the shortage of BOW and get better classified effect.
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A question classification algorithm based on [[Wikipedia]] is proposed to classify questions incommunity-based QA system. The algorithm maps feature items of train questions to Wikipedia con-cepts and avoids the problems of synonymy and polysemy by using of redirect and ambiguous page, thenthe low dimensionality and semantic conceptual vector space is built. A modified method of concept corre-lation degree is proposed based on Wikipedia hyperlink structure and category hierarchy in order to en-rich the semantic representation of question. The contrast experiment shows that the algorithm can over-come the shortage of BOW and get better classified effect.

Revision as of 07:01, 1 September 2019

Question Classification Method based on Wikipedia in Community-Based Q&A - scientific work related to Wikipedia quality published in 2014, written by Fan Yun-ji.

Overview

A question classification algorithm based on Wikipedia is proposed to classify questions incommunity-based QA system. The algorithm maps feature items of train questions to Wikipedia con-cepts and avoids the problems of synonymy and polysemy by using of redirect and ambiguous page, thenthe low dimensionality and semantic conceptual vector space is built. A modified method of concept corre-lation degree is proposed based on Wikipedia hyperlink structure and category hierarchy in order to en-rich the semantic representation of question. The contrast experiment shows that the algorithm can over-come the shortage of BOW and get better classified effect.