@InProceedings{tang-kageura:2017:NLPmJ,
  author    = {Tang, Linyuan  and  Kageura, Kyo},
  title     = {'Fighting' or 'Conflict'? An Approach to Revealing Concepts of Terms in Political Discourse},
  booktitle = {Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {90--94},
  abstract  = {Previous work on the epistemology of fact-checking indicated the dilemma
	between the needs of binary answers for the public and ambiguity of political
	discussion. Determining concepts represented by terms in political discourse
	can be considered as a Word-Sense Disambiguation (WSD) task. The analysis of
	political discourse, however, requires identifying precise concepts of terms
	from relatively small data. This work attempts to provide a basic framework for
	revealing concepts of terms in political discourse with explicit contextual
	information. The framework consists of three parts: 1) extracting important
	terms, 2) generating concordance for each term with stipulative definitions and
	explanations, and 3) agglomerating similar information of the term by
	hierarchical clustering. Utterances made by Prime Minister Abe Shinzo in the
	Diet of Japan are used to examine our framework. Importantly, we revealed the
	conceptual inconsistency of the term Sonritsu-kiki-jitai. The framework was
	proved to work, but only for a small number of terms due to lack of explicit
	contextual information.},
  url       = {http://www.aclweb.org/anthology/W17-4216}
}