Turkish Question Answering Application with Course-Grained Semantic Matrix Representation of Sentences


Donmez I., Adali E.

2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey, 5 - 08 October 2017, pp.6-11 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.6-11

Abstract

In this paper a novel powerful method for Information Retrieval based Factoid Question Answering system is proposed. A factoid question has exactly one correct answer, and the answer is mostly a named entity like person, date, location etc. A rule-based method for question classification, query formulation and answer processing methods are explored based on our coarse-grained semantic representation for Turkish sentences. "HazirCevap" Question Answering Application which is intended for high-school students to support their education is used to evaluate the proposed method. Testing with a set of questions of HazirCevap dataset, the proposed Question Answering system scored 7.6% for Top5 accuracy, 12.6% for Top10 accuracy and 7.4% for Top20 accuracy which is minimum 7% higher than previ2ous state of the art method.