🧑‍🔬 Takenobu Tokunaga

🏛️ Affiliations

🎓Tokyo Institute of TechnologyTokyo · Japan1988–2025 · 156 papersEmployment🎓Institute of Science TokyoTokyo · Japan2025 · 5 papersEmployment · Professor, School of Computing🎓University of CambridgeCambridge · United Kingdom2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

1990s

Undated

📄 Papers

The most cited first (OpenAlex and our library).

1. Selective Sampling for Example-based Word Sense Disambiguation (1998 · 129 citations)
   Example-based word sense disambiguation systems choose a verb's sense by finding the most similar stored example.
2. Neural Japanese Zero Anaphora Resolution using Smoothed Large-scale Case Frames with Word Embedding (17 citations)
   Japanese texts often omit verb arguments, so a system has to recover these zero anaphors and link them to antecedents.
3. Parsing Argumentative Structure in English-as-Foreign-Language Essays (2021 · 12 citations)
   The paper applies argument mining to essays by learners of English as a foreign language. Their writing is noisier and less coherent than the polished texts that most argument-mining corpora assume. The authors use ICNALE-AS2R, a sentence-level annotation of 434 ICNALE essays by Asian college students. Each sentence…
4. Evaluation of Automatically Generated Pronoun Reference Questions (2017 · 8 citations)
   The paper evaluates a system that automatically writes English pronoun reference questions: multiple-choice items in which a reader picks the antecedent of a pronoun in a passage from four options.

All works

11 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Selective Sampling for Example-based Word Sense DisambiguationComputational LinguisticsAtsushi Fujii, Kentaro Inui, Takenobu Tokunaga, et al.1998 · 129 citations
2. Building a corpus of legal argumentation in Japanese judgement documents: towards structure-based summarisation ↗Artificial Intelligence and Law (Springer) · no summary yetHiroaki Yamada, Simone Teufel, Takenobu Tokunaga2019 · 28 citations
3. Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction ↗arXiv:2312.00480 · Artif. Intell. Law 33, 3 (Sep 2025), 783-807 · no summary yetHiroaki Yamada et al.2023 · 17 citations
4. Neural Japanese Zero Anaphora Resolution using Smoothed Large-scale Case Frames with Word EmbeddingPacific Asia Conference on Language, Information and Computation (PACLIC)Souta Yamashiro, Hitoshi Nishikawa, Takenobu Tokunaga17 citations
5. Parsing Argumentative Structure in English-as-Foreign-Language EssaysWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Jan Wira Gotama Putra, Simone Teufel, Takenobu Tokunaga2021 · 12 citations
6. Annotation of argument structure in Japanese legal documents ↗Proceedings of the 4th Workshop on Argument Mining · no summary yetHiroaki Yamada, Simone Teufel, Takenobu Tokunaga2017 · 10 citations
7. Evaluation of Automatically Generated Pronoun Reference QuestionsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Arief Yudha Satria, Takenobu Tokunaga2017 · 8 citations
8. Cross-domain Analysis on Japanese Legal Pretrained Language Models ↗Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022 · no summary yetKeisuke Miyazaki, Hiroaki Yamada, Takenobu Tokunaga2022 · 7 citations
9. Paraphrasing Japanese Noun Phrases using Character-based Indexing ↗Proceedings of the Second International Workshop on Paraphrasing · no summary yetTakenobu Tokunaga, Hozumi Tanaka, Kenji Kimura2003 · 4 citations
10. Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetHiroaki Yamada et al.2022 · 2 citations
11. SIERA: An Evaluation Metric for Text Simplification using the Ranking Model and Data Augmentation by Edit Operations ↗Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024 · no summary yetHikaru Yamanaka, Takenobu Tokunaga2024 · 1 citation

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Atsushi Fujii
• Kentaro Inui
• Simone Teufel

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Innovative Use of NLP for Building Educational Applications (BEA) ×2: BEA 2021, BEA 2017
• Computational Linguistics: Computational Linguistics 1998
• Pacific Asia Conference on Language, Information and Computation (PACLIC)
• Artificial Intelligence and Law (Springer)
• Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
• Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024
• Proceedings of the 4th Workshop on Argument Mining
• Proceedings of the Second International Workshop on Paraphrasing
• Proceedings of the Thirteenth Language Resources and Evaluation Conference

🔗 Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026

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