Kazutaka Shimada


2018

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Annotation and Analysis of Extractive Summaries for the Kyutech Corpus
Takashi Yamamura | Kazutaka Shimada
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Trivia Score and Ranking Estimation Using Support Vector Regression and RankNet
Kazuya Niina | Kazutaka Shimada
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

2016

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The Kyutech corpus and topic segmentation using a combined method
Takashi Yamamura | Kazutaka Shimada | Shintaro Kawahara
Proceedings of the 12th Workshop on Asian Language Resources (ALR12)

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.

2015

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Trouble information extraction based on a bootstrap approach from Twitter
Kohei Kurihara | Kazutaka Shimada
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation

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Multi-aspects Rating Prediction Using Aspect Words and Sentences
Takuto Nakamuta | Kazutaka Shimada
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation

2010

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Combination of 3 Types of Speech Recognizers for Anaphora Resolution
Kazutaka Shimada | Noriko Tanamachi | Tsutomu Endo
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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Multi-aspects Review Summarization Based on Identification of Important Opinions and their Similarity
Ryosuke Tadano | Kazutaka Shimada | Tsutomu Endo
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

2008

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Sentiment Sentence Extraction Using a Hierarchical Directed Acyclic Graph Structure and a Bootstrap Approach
Kazutaka Shimada | Daigo Hashimoto | Tsutomu Endo
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation

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An Effective Speech Understanding Method with a Multiple Speech Recognizer based on Output Selection using Edit Distance
Kazutaka Shimada | Satomi Horiguchi | Tsutomu Endo
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation

2007

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Movie Review Classification Based on a Multiple Classifier
Kimitaka Tsutsumi | Kazutaka Shimada | Tsutomu Endo
Proceedings of the 21st Pacific Asia Conference on Language, Information and Computation