A Topic Classification System Based on Clue Expressions for Person-Related Questions and Passages


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 12, pp. 577-584, Dec. 2015
10.3745/KTSDE.2015.4.12.577,   PDF Download:

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.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
G. H. Lee and K. J. Lee, "A Topic Classification System Based on Clue Expressions for Person-Related Questions and Passages," KIPS Transactions on Software and Data Engineering, vol. 4, no. 12, pp. 577-584, 2015. DOI: 10.3745/KTSDE.2015.4.12.577.

[ACM Style]
Gyoung Ho Lee and Kong Joo Lee. 2015. A Topic Classification System Based on Clue Expressions for Person-Related Questions and Passages. KIPS Transactions on Software and Data Engineering, 4, 12, (2015), 577-584. DOI: 10.3745/KTSDE.2015.4.12.577.