---
title: "Seiji Shimizu — author profile and papers — Elamur Research"
description: "Seiji Shimizu, Nara Institute of Science and Technology: 3 papers on Elamur Research (2026), h-index 24 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/seiji-shimizu/"
---
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# Seiji Shimizu

Seiji Shimizu has 3 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Eiji Aramaki](https://md.research.elamur.ai/free/en/authors/eiji-aramaki/), [Shoko Wakamiya](https://md.research.elamur.ai/free/en/authors/shoko-wakamiya/), [Tomohiro Nishiyama](https://md.research.elamur.ai/free/en/authors/tomohiro-nishiyama/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5112673540) · [ORCID](https://orcid.org/0009-0000-6605-2207) · [**h-index 24**](https://openalex.org/authors/A5112673540) · [232 works](https://openalex.org/works?filter=author.id:A5112673540) · [2,265 citations](https://openalex.org/works?filter=author.id:A5112673540&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/seiji-shimizu/#papers) · [⭐ Paper Stars ranking: #11849](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11849)

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=Seiji+Shimizu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Seiji+Shimizu) · [dblp](https://dblp.org/search?q=Seiji+Shimizu) · [ACL Anthology](https://aclanthology.org/search/?q=Seiji+Shimizu)

## Affiliations

[🎓**Nara Institute of Science and Technology** Ikoma · Japan 2024–2026 · 10 papersEmployment · Student, Information Science*current*](https://md.research.elamur.ai/free/en/universities/nara-institute-of-science-and-technology/) · [🎓**Nihon University** Tokyo · Japan 2005–2018 · 28 papers](https://ror.org/05jk51a88) · [🏥**Osaka General Hospital Of West Japan Railway Company** Osaka · Japan 2011–2022 · 18 papers](https://ror.org/00psk7c79) · [🎓**Hiroshima Institute of Technology** Hiroshima · Japan 1990–2005 · 18 papers](https://ror.org/02bwkwm60) · [🏥**Kyoto first Red Cross hospital** Kyoto · Japan 1986–1999 · 17 papers](https://ror.org/0460s9920) · [🏢**Mitsuboshi Diamond Industrial Co., Ltd.** Settsu · Japan 2009–2025 · 15 papers](https://ror.org/00m9dm660) · [🏥**Anjo Kosei Hospital** Okazaki · Japan 1990–2006 · 9 papers](https://ror.org/05c06ww48) · [🎓**Kyoto Prefectural University of Medicine** Kyoto · Japan 1984–1993 · 8 papers](https://ror.org/028vxwa22) · [🎓**The University of Osaka** Osaka · Japan 2001–2012 · 7 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-osaka/) · [🎓**Osaka City University** Osaka · Japan 1998–2003 · 6 papers](https://ror.org/02skfsw40)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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.

📚 Shelves 10 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/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/seiji-shimizu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Herd of Language Models Makes a Better Zero-shot Annotator for Clinical Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/shimizu-2026-herd-language-models-makes-better/)** *(2026)* Manual annotation of clinical notes is expensive and constrained by data-sharing rules. Single LLMs used as zero-shot annotators still perform poorly on clinical named entity recognition. The authors instead combine the outputs of three different LLMs: a general-purpose model, a medically adapted model and an…
2. **[J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in Japanese](https://md.research.elamur.ai/free/en/papers/shimizu-2026-j-clinicalbench-benchmark-evaluating-large/)** *(2026)* Clinical LLM evaluation is well established for English but not for Japanese. Strict privacy rules leave almost no shareable Japanese clinical text, and current Japanese medical benchmarks mostly rely on translated English data or licensing-exam questions. Neither reflects how real hospital records are written.…
3. **[MedNormJ: A Benchmark Dataset for Medical Concept Normalization in Japanese Clinical Documents](https://md.research.elamur.ai/free/en/papers/tashiro-2026-mednormj-benchmark-dataset-medical-concept/)** *(2026)* Japanese clinical NLP has had no shared benchmark for medical concept normalization, which links disease mentions in clinical text to concepts in a standard terminology.

## Co-authors here

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

- [Eiji Aramaki](https://md.research.elamur.ai/free/en/authors/eiji-aramaki/) ×3
- [Shoko Wakamiya](https://md.research.elamur.ai/free/en/authors/shoko-wakamiya/) ×3
- [Tomohiro Nishiyama](https://md.research.elamur.ai/free/en/authors/tomohiro-nishiyama/) ×2

## Venues

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

- [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/): [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)

Updated 1 November 2026
