Tatsunori Mori and Hiroshi Nakagawa - Free people check

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EBSCOhost | | Automatic term recognition based on statistics...

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Hiroshi Nakagawa and Tatsunori Mori. In this paper, we propose a new approach to enhance automatic recognition systems for domain-specific terms. The approach is based on the statistics about the relation between a compound noun and its constituents that are simple nouns. More precisely, we focus on how many ...

Automatic term recognition based on statistics of compound nouns ...:...

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Hiroshi Nakagawa and Tatsunori Mori. In this paper, we propose a new approach to enhance automatic recognition systems for domain-specific terms.

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Nakagawa HP - 国際会議論文（査読有り）

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Montreal, Canada; Hiroshi Nakagawa, Tatsunori Mori, "Nested Collocation and Compound Noun For Term Extraction", Proceedings of the ...

ACL workshop on anaphora: programme and call for registration from...

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... Definite Description Resolution Tatsunori Mori, Mamoru Masuo, Hiroshi Nakagawa (Yokohama National University)- Constraints and defaults ...

@azu/term-extract-js - npm

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This module is a rewrite of TermExtract for JavaScript. TermExtract is based on the concept of "technical term automatic extraction system" created by Professor Hiroshi Nakagawa of Tokyo University and Associate Professor Tatsunori Mori of Yokohama National University. Please refer to these papers, for that principle.

ACM Transactions on Asian Language Information Processing

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Hiroshi Nakagawa and Tatsunori Mori and Noriko Kando Preface to the special issues on NTCIR Tsuneaki Kato and Jun'ichi Fukumoto and Fumito Masui and Noriko Kando Are open-domain question answering technologies useful for information access dialogues?---an empirical study and a ...