---
title: "Koji Mineshima · Keio University — author profile and papers"
description: "Koji Mineshima, Keio University: 3 papers on Elamur Research (2017–2021), h-index 14 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/koji-mineshima/"
---
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# Koji Mineshima

Koji Mineshima has 3 papers in our library, in 2017–2021, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Daisuke Bekki](https://md.research.elamur.ai/free/en/authors/daisuke-bekki/), [Hitomi Yanaka](https://md.research.elamur.ai/free/en/authors/hitomi-yanaka/), [Kentaro Inui](https://md.research.elamur.ai/free/en/authors/kentaro-inui/).

3 papers in our library · 2017–2021

[OpenAlex](https://openalex.org/A5079684936) · [ORCID](https://orcid.org/0000-0002-2801-9171) · [**h-index 14**](https://openalex.org/authors/A5079684936) · [99 works](https://openalex.org/works?filter=author.id:A5079684936) · [727 citations](https://openalex.org/works?filter=author.id:A5079684936&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/koji-mineshima/#papers) · [🔗 Cited 188 times in our library](https://md.research.elamur.ai/free/en/authors/koji-mineshima/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5124](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5124)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Koji+Mineshima) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Koji+Mineshima) · [dblp](https://dblp.org/search?q=Koji+Mineshima) · [ACL Anthology](https://aclanthology.org/search/?q=Koji+Mineshima)

## Affiliations

[🎓**Keio University** Tokyo · Japan 2008–2026 · 58 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/keio-university/) · [🎓**Ochanomizu University** Tokyo · Japan 2015–2020 · 37 papers](https://ror.org/03599d813) · [🏛️**Japan Science and Technology Agency** Tokyo · Japan 2015–2017 · 5 papers](https://md.research.elamur.ai/free/en/government/japan-science-and-technology-agency/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2021** 1 paper Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) · [**2020** 1 paper Combining Event Semantics and Degree Semantics for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)

### 2010s

[**2017** 1 paper On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/)

## Papers

The most cited first (OpenAlex and our library).

1. **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/)** *(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. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/)** *(2021 · 27 citations)* The paper asks whether neural NLI models can chain inferences: if a model has learned that A entails B and that B entails C, can it conclude that A entails C without having seen that combination? The authors probe this through veridicality.
3. **[Combining Event Semantics and Degree Semantics for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)** *(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

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Can Neural Networks Understand Monotonicity Reasoning?](https://aclanthology.org/W19-4804/) Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP · original ↗ · no summary yet**Hitomi Yanaka et al.*2019 · 106 citations*
2. **[HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning](https://aclanthology.org/S19-1027/) Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019) · original ↗ · no summary yet**Hitomi Yanaka et al.*2019 · 95 citations*
3. **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.*2017 · 52 citations*
4. **[Compositional Evaluation on Japanese Textual Entailment and Similarity](https://aclanthology.org/2022.tacl-1.73/) Transactions of the Association for Computational Linguistics · original ↗ · no summary yet**Hitomi Yanaka, Koji Mineshima*2022 · 33 citations*
5. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hitomi Yanaka, Koji Mineshima, Kentaro Inui*2021 · 27 citations*
6. **[Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases](https://arxiv.org/abs/2306.12567) arXiv:2306.12567 · original ↗ · no summary yet**Risako Ando et al.*2023 · 16 citations*
7. **[Factivity and presupposition in Dependent Type Semantics](https://doi.org/10.15398/jlm.v5i2.153) Journal of Language Modelling · original ↗ · no summary yet**Ribeka Tanaka, Koji Mineshima, Daisuke Bekki*2017 · 15 citations*
8. [**Combining Event Semantics and Degree Semantics for Natural Language Inference**Izumi Haruta, Koji Mineshima, Daisuke Bekki*English · 12 citations*](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)
9. **[Normative Reasoning in Large Language Models: A Comparative Benchmark from Logical and Modal Perspectives](https://arxiv.org/abs/2510.26606) arXiv:2510.26606 · original ↗ · no summary yet**Kentaro Ozeki et al.*2025 · 3 citations*
10. **[Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason's Selection Task](https://aclanthology.org/2026.eacl-short.42/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) · original ↗ · no summary yet**Hirohiko Abe et al.*2026*

## Co-authors here

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

- [Daisuke Bekki](https://md.research.elamur.ai/free/en/authors/daisuke-bekki/) ×2
- [Hitomi Yanaka](https://md.research.elamur.ai/free/en/authors/hitomi-yanaka/)
- [Kentaro Inui](https://md.research.elamur.ai/free/en/authors/kentaro-inui/)
- [Yusuke Miyao](https://md.research.elamur.ai/free/en/authors/yusuke-miyao/)

## Venues

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

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) ×3: [EACL 2021](https://md.research.elamur.ai/free/en/venues/eacl/2021/), [EACL 2017](https://md.research.elamur.ai/free/en/venues/eacl/2017/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2020](https://md.research.elamur.ai/free/en/venues/coling/2020/)
- Journal of Language Modelling
- Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
- Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
- Transactions of the Association for Computational Linguistics

## Cited by

Papers of our library cite their works 188 times (of the 141,840 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/koji-mineshima/cited-by/).

Updated 24 October 2026
