@InProceedings{yamamura-shimada-kawahara:2016:ALR12,
  author    = {Yamamura, Takashi  and  Shimada, Kazutaka  and  Kawahara, Shintaro},
  title     = {The Kyutech corpus and topic segmentation using a combined method},
  booktitle = {Proceedings of the 12th Workshop on Asian Language Resources (ALR12)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {95--104},
  abstract  = {Summarization of multi-party conversation is one of the important tasks in
	natural language processing.
	In this paper, we explain a Japanese corpus and a topic segmentation task.
	To the best of our knowledge, the corpus is the first Japanese corpus annotated
	for summarization tasks and freely available to anyone.
	We call it ``the Kyutech corpus.''
	The task of the corpus is a decision-making task with four participants and it
	contains utterances with time information, topic segmentation and reference
	summaries.
	As a case study for the corpus, we describe a method combined with LCSeg and
	TopicTiling for a topic segmentation task.
	We discuss the effectiveness and the problems of the combined method through
	the experiment with the Kyutech corpus.},
  url       = {http://aclweb.org/anthology/W16-5412}
}