Tatsunori Mori


2023

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Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
Chengguang Gan | Tatsunori Mori
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

2019

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Strategies for an Autonomous Agent Playing the “Werewolf game” as a Stealth Werewolf
Shoji Nagayama | Jotaro Abe | Kosuke Oya | Kotaro Sakamoto | Hideyuki Shibuki | Tatsunori Mori | Noriko Kando
Proceedings of the 1st International Workshop of AI Werewolf and Dialog System (AIWolfDial2019)

2018

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Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis
Yujie Lu | Boyi Ni | Qijin Ji | Kotaro Sakamoto | Hideyuki Shibuki | Tatsunori Mori
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

2015

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Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues
Yujie Lu | Jinlong Guo | Kotaro Sakamoto | Hideyuki Shibuki | Tatsunori Mori
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation

2012

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Introduction of a Probabilistic Language Model to Non-Factoid Question Answering Using Example Q&A Pairs
Kyosuke Yoshida | Taro Ueda | Madoka Ishioroshi | Hideyuki Shibuki | Tatsunori Mori
Proceedings of the 26th Pacific Asia Conference on Language, Information, and Computation

2010

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A Method for Automatically Generating a Mediatory Summary to Verify Credibility of Information on the Web
Hideyuki Shibuki | Takahiro Nagai | Masahiro Nakano | Rintaro Miyazaki | Madoka Ishioroshi | Tatsunori Mori
Coling 2010: Posters

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Construction of Text Summarization Corpus for the Credibility of Information on the Web
Masahiro Nakano | Hideyuki Shibuki | Rintaro Miyazaki | Madoka Ishioroshi | Koichi Kaneko | Tatsunori Mori
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Recently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the content, especially showing interpretation of the relation between statements appeared to contradict each other, is important for helping a user judge the credibility of information. In this paper, we will describe the purpose and the way in the construction of a text summarization corpus. Our purpose in the construction of the corpus includes the following three points; to collect Web documents relevant to several query sentences, to prepare gold standard data to evaluate smaller sub-processes in the extraction process and the summary generation process, to investigate the summaries made by human summarizers. The constructed corpus contains six query sentences, 24 manually-constructed summaries, and 24 collections of source Web documents. We also investigated how the descriptions of interpretation, which help a user judge the credibility of other descriptions in the summary, appear in the corpus. As a result, we confirmed that showing interpretation on conflicts is important for helping a user judge the credibility of information.

2009

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Mediatory Summary Generation: Summary-Passage Extraction for Information Credibility on the Web
Koichi Kaneko | Hideyuki Shibuki | Masahiro Nakano | Rintaro Miyazaki | Madoka Ishioroshi | Tatsunori Mori
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 1

2004

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Multi-Answer-Focused Multi-Document Summarization Using a Question-Answering Engine
Tatsunori Mori | Masanori Nozawa | Yoshiaki Asada
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

2002

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A Simple but Powerful Automatic Term Extraction Method
Hiroshi Nakagawa | Tatsunori Mori
COLING-02: COMPUTERM 2002: Second International Workshop on Computational Terminology

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Information Gain Ratio as Term Weight: The case of Summarization of IR Results
Tatsunori Mori
COLING 2002: The 19th International Conference on Computational Linguistics

1998

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Hypertext Authoring for Linking Relevant Segments of Related Instruction Manuals
Hiroshi Nakagawa | Tatsunori Mori | Nobuyuki Omori | Jun Okamura
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Hypertext Authoring for Linking Relevant Segments of Related Instruction Manuals
Hiroshi Nakagawa | Tatsunori Mori | Nobuyuki Omori | Jun Okamura
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

1997

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Constraints and defaults of zero pronouns in Japanese instruction manuals
Tatsunori Mori | Mamoru Matsuo | Hiroshi Nakagawa
Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts

1996

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Zero Pronouns and Conditionals in Japanese Instruction Manuals
Tatsunori Mori | Hiroshi Nakagawa
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1988

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A Parser based on Connectionist Model
Hiroshi Nakagawa | Tatsunori Mori
Coling Budapest 1988 Volume 2: International Conference on Computational Linguistics