@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T The Kyutech corpus and topic segmentation using a combined method
%A Yamamura, Takashi
%A Shimada, Kazutaka
%A Kawahara, Shintaro
%Y Hasida, Koiti
%Y Wong, Kam-Fai
%Y Calzorari, Nicoletta
%Y Choi, Key-Sun
%S Proceedings of the 12th Workshop on Asian Language Resources (ALR12)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F yamamura-etal-2016-kyutech
%X 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.
%U https://aclanthology.org/W16-5412
%P 95-104
Markdown (Informal)
[The Kyutech corpus and topic segmentation using a combined method](https://aclanthology.org/W16-5412) (Yamamura et al., ALR 2016)
ACL