@inproceedings{yamamura-etal-2016-kyutech,
    title = "The {K}yutech corpus and topic segmentation using a combined method",
    author = "Yamamura, Takashi  and
      Shimada, Kazutaka  and
      Kawahara, Shintaro",
    editor = "Hasida, Koiti  and
      Wong, Kam-Fai  and
      Calzorari, Nicoletta  and
      Choi, Key-Sun",
    booktitle = "Proceedings of the 12th Workshop on {A}sian Language Resources ({ALR}12)",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/ingest-emnlp/W16-5412/",
    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."
}