Paper: Building a Japanese Corpus of Temporal-Causal-Discourse Structures Based on SDRT for Extracting Causal Relations

ACL ID W14-0705
Title Building a Japanese Corpus of Temporal-Causal-Discourse Structures Based on SDRT for Extracting Causal Relations
Venue Workshop on Computational Approaches to Causality in Language
Session
Year 2014
Authors

This paper proposes a methodology for generating specialized Japanese data sets for the extraction of causal relations, in which temporal, causal and discourse re- lations at both the fact level and the epis- temic level, are annotated. We applied our methodology to a number of text frag- ments taken from the Balanced Corpus of Contemporary Written Japanese. We eval- uated the feasibility of our methodology in terms of agreement and frequencies, and discussed the results of the analysis.