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A Topic Classification System Based on Clue Expressions for Person-Related Questions and Passages
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 Title & Authors
A Topic Classification System Based on Clue Expressions for Person-Related Questions and Passages
Lee, Gyoung Ho; Lee, Kong Joo;
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 Abstract
In general, Q&A system retrieves passages by matching terms of a question in order to find an answer to the question. However it is difficult for Q&A system to find a correct answer because too many passages are retrieved and matching using terms is not enough to rank them according to their relevancy to a question. To alleviate this problem, we introduce a topic for a sentence, and adopt it for ranking in Q&A system. We define a set of person-related topic class and a clue expression which can indicate a topic of a sentence. A topic classification system proposed in this paper can determine a target topic for an input sentence by using clue expressions, which are manually collected from a corpus. We explain an architecture of the topic classification system and evaluate the performance of the components of this system.
 Keywords
Topic Classification;Clue Expression;Person-Related Topic Class;
 Language
Korean
 Cited by
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