Paper: Why-Question Answering using Intra- and Inter-Sentential Causal Relations

ACL ID P13-1170
Title Why-Question Answering using Intra- and Inter-Sentential Causal Relations
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

In this paper, we explore the utility of intra- and inter-sentential causal relations between terms or clauses as evidence for answering why-questions. To the best of our knowledge, this is the first work that uses both intra- and inter-sentential causal relations for why-QA. We also propose a method for assessing the appropriate- ness of causal relations as answers to a given question using the semantic orienta- tion of excitation proposed by Hashimoto et al. (2012). By applying these ideas to Japanese why-QA, we improved preci- sion by 4.4% against all the questions in our test set over the current state-of-the- art system for Japanese why-QA. In addi- tion, unlike the state-of-the-art system, our system could achieve very high precision (83.2%) for 25% of all the questions in the test s...