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2017 IJCNLP IJCNLP 2017

MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations

Abstract

AbstractIn this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task. MappSent has initially been proposed for question-to-question similarity hazem2017. In this work, we present the results of two adaptations of MappSent for the question answering task on the English dataset.

Authors

Amir Hazem

Topics

Natural Language Processing > Applications > Question Answering Natural Language Processing > Resources & Methods > Text Representation

Keywords

question answering vector representation textual similarity multi-choice question
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