Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 3G2-02
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Textual Evidence Inference for Debating AI
*Kohsuke YANAIMisa SATOToshihiko YANASEYuta KOREEDA
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Abstract

This paper defines textual evidence inference problem, a new NLP task for decision-making application. The objective of the textual evidence inference problem is to classify a given text into evidence categories based on a given decision-making question and a given set of sentences representing values and preferences of decision-makers. We report the technical difficulties of the problem by using newly developed dataset.

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© 2018 The Japanese Society for Artificial Intelligence
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