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A Review on Deep Learning Techniques Applied to Answer Selection

Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)

Published August 20, 2018

Tuan Manh Lai, Trung Bui, Sheng Li

Given a question and a set of candidate answers, answer selection is the task of identifying which of the candidates answers the question correctly. It is an important problem in natural language processing, with applications in many areas. Recently, many deep learning based methods have been proposed for the task. They produce impressive performance without relying on any feature engineering or expensive external resources. In this paper, we aim to provide a comprehensive review on deep learning methods applied to answer selection.

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