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Daisuke Bekki

Daisuke Bekki has 2 papers in our library, in 2017–2020, most of them on Reasoning, English; often with Koji Mineshima, Yusuke Miyao.

2 papers in our library · 2017–2020

OpenAlex · ORCID · h-index 12 · 92 works · 610 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 137 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5289

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Ochanomizu UniversityTokyo · Japan2009–2026 · 79 paperscurrent🔬National Institute of InformaticsTokyo · Japan2012–2017 · 9 papers🏛️Japan Science and Technology AgencyTokyo · Japan2014–2017 · 8 papers🎓The University of TokyoTokyo · Japan2006–2024 · 2 papers🔬National Institute of Advanced Industrial Science and TechnologyTsukuba · Japan2016–2017 · 2 papers🎓Aoyama Gakuin UniversityTokyo · Japan2011–2015 · 2 papers🎓University of OtagoDunedin · New Zealand2012–2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksEnglish · 1 work

 Works by year

2020s

20201 paperCombining Event Semantics and Degree Semantics for Natural Language Inference

2010s

20171 paperOn-demand Injection of Lexical Knowledge for Recognising Textual Entailment

 Papers

The most cited first (OpenAlex and our library).

  1. On-demand Injection of Lexical Knowledge for Recognising Textual Entailment (2017 · 52 citations)
    The paper tackles Recognising Textual Entailment (RTE) with a purely logical pipeline. Sentences are parsed with CCG (C&C and EasyCCG) and composed into Neo-Davidsonian event-semantic formulas. A natural-deduction prover implemented in Coq then checks whether T → H holds. The main obstacle is lexical: the hypothesis…
  2. Combining Event Semantics and Degree Semantics for Natural Language Inference (2020 · 12 citations)
    A logic-based NLI system that combines two semantic frameworks: neo-Davidsonian event semantics (adverbs such as "slowly" are predicates of an event) and degree semantics (adjectives as tall(x, d), comparatives by the A-not-A analysis).

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Can Neural Networks Understand Monotonicity Reasoning? · original ↗ · no summary yet · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting…Hitomi Yanaka et al.2019 · 106 citations
  2. HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning · original ↗ · no summary yet · Proceedings of the Eighth Joint Conference on Lexical and Computational…Hitomi Yanaka et al.2019 · 95 citations
  3. On-demand Injection of Lexical Knowledge for Recognising Textual EntailmentPascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.Conference of the European Chapter of the Association for Computational Linguistics (EACL) · 52 citations
  4. Factivity and presupposition in Dependent Type Semantics · original ↗ · no summary yet · Journal of Language ModellingRibeka Tanaka, Koji Mineshima, Daisuke Bekki2017 · 15 citations
  5. Combining Event Semantics and Degree Semantics for Natural Language InferenceIzumi Haruta, Koji Mineshima, Daisuke BekkiEnglish · 12 citations
  6. Translating HPSG-Style Outputs of a Robust Parser into Typed Dynamic Logic · original ↗ · no summary yet · Proceedings of the COLING/ACL 2006 Main Conference Poster SessionsManabu Sato et al.2006 · 4 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 137 times (of the 141,840 papers whose bibliographies we read); 18 citing papers with a page here →.

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