JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 9. NLP / IR

[3G2] [General Session] 9. NLP / IR

Thu. Jun 7, 2018 3:50 PM - 5:30 PM Room G (5F Ruby Hall Hiten)

座長:西田 京介(NTT)

4:10 PM - 4:30 PM

[3G2-02] Textual Evidence Inference for Debating AI

〇Kohsuke Yanai1, Misa Sato1, Toshihiko Yanase1, Yuta Koreeda1 (1. Hitachi, Ltd.)

Keywords:Natural Language Processing, Argument Mining, decision support

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.