Koichi Takeuchi


2020

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Constructing Web-Accessible Semantic Role Labels and Frames for Japanese as Additions to the NPCMJ Parsed Corpus
Koichi Takeuchi | Alastair Butler | Iku Nagasaki | Takuya Okamura | Prashant Pardeshi
Proceedings of the 12th Language Resources and Evaluation Conference

As part of constructing the NINJAL Parsed Corpus of Modern Japanese (NPCMJ), a web-accessible language resource, we are adding frame information for predicates, together with two types of semantic role labels that mark the contributions of arguments. One role type consists of numbered semantic roles, like in PropBank, to capture relations between arguments in different syntactic patterns. The other role type consists of semantic roles with conventional names.Both role types are compatible with hierarchical frames that belong to related predicates. Adding semantic role and frame information to the NPCMJ will support a web environment where language learners and linguists can search examples of Japanese for syntactic and semantic features. The annotation will also provide a language resource for NLP researchers making semantic parsing models (e.g., for AMR parsing) following machine learning approaches. In this paper, we describe how the two types of semantic role labels are defined under the frame based approach, i.e., both types can be consistently applied when linked to corresponding frames. Then we show special cases of syntactic patterns and the current status of the annotation work.

2018

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Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language
Takuya Okamura | Koichi Takeuchi | Yasuhiro Ishihara | Masahiro Taguchi | Yoshihiko Inada | Masaya Iizuka | Tatsuhiko Abo | Hitoshi Ueda
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

2016

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Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
Patrick Drouin | Natalia Grabar | Thierry Hamon | Kyo Kageura | Koichi Takeuchi
Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)

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A Method of Augmenting Bilingual Terminology by Taking Advantage of the Conceptual Systematicity of Terminologies
Miki Iwai | Koichi Takeuchi | Kyo Kageura | Kazuya Ishibashi
Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)

In this paper, we propose a method of augmenting existing bilingual terminologies. Our method belongs to a “generate and validate” framework rather than extraction from corpora. Although many studies have proposed methods to find term translations or to augment terminology within a “generate and validate” framework, few has taken full advantage of the systematic nature of terminologies. A terminology of a domain represents the conceptual system of the domain fairly systematically, and we contend that making use of the systematicity fully will greatly contribute to the effective augmentation of terminologies. This paper proposes and evaluates a novel method to generate bilingual term candidates by using existing terminologies and delving into their systematicity. Experiments have shown that our method can generate much better term candidate pairs than the existing method and give improved performance for terminology augmentation.

2010

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A Thesaurus of Predicate-Argument Structure for Japanese Verbs to Deal with Granularity of Verb Meanings
Koichi Takeuchi | Kentaro Inui | Nao Takeuchi | Atsushi Fujita
Proceedings of the Eighth Workshop on Asian Language Resouces

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An ontology-driven system for detecting global health events
Nigel Collier | Reiko Matsuda Goodwin | John McCrae | Son Doan | Ai Kawazoe | Mike Conway | Asanee Kawtrakul | Koichi Takeuchi | Dinh Dien
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

2007

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Bilingual Terminology Mining - Using Brain, not brawn comparable corpora
Emmanuel Morin | Béatrice Daille | Koichi Takeuchi | Kyo Kageura
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

2004

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Paraphrasing of Japanese Light-verb Constructions Based on Lexical Conceptual Structure
Atsushi Fujita | Kentaro Furihata | Kentaro Inui | Yuji Matsumoto | Koichi Takeuchi
Proceedings of the Workshop on Multiword Expressions: Integrating Processing

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Construction of Grammar Based Term Extraction Model for Japanese
Koichi Takeuchi | Kyo Kageura | Béatrice Daille | Laurent Romary
Proceedings of CompuTerm 2004: 3rd International Workshop on Computational Terminology

2003

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Bio-Medical Entity Extraction using Support Vector Machines
Koichi Takeuchi | Nigel Collier
Proceedings of the ACL 2003 Workshop on Natural Language Processing in Biomedicine

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Deverbal Compound Noun Analysis Based on Lexical Conceptual Structure
Koichi Takeuchi | Kyo Kageura | Teruo Koyama
The Companion Volume to the Proceedings of 41st Annual Meeting of the Association for Computational Linguistics

2002

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An LCS-Based Approach for Analyzing Japanese Compound Nouns with Deverbal Heads
Koichi Takeuchi | Kyo Kageura | Teruo Koyama
COLING-02: COMPUTERM 2002: Second International Workshop on Computational Terminology

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Use of Support Vector Machines in Extended Named Entity Recognition
Koichi Takeuchi | Nigel Collier
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)

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PIA-Core: Semantic Annotation through Example-based Learning
Nigel Collier | Koichi Takeuchi
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

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Progress on Multi-lingual Named Entity Annotation Guidelines using RDF (S)
Nigel Collier | Koichi Takeuchi | Chikashi Nobata | Junichi Fukumoto | Norihiro Ogata
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

1995

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HMM Parameter Learning for Japanese Morphological Analyzer
Koichi Takeuchi | Yuji Matsumoto
Proceedings of the 10th Pacific Asia Conference on Language, Information and Computation