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Seiji Shimizu

Seiji Shimizu has 3 papers in our library, in 2026, most of them on Evaluation & benchmarks, Named entity recognition; often with Eiji Aramaki, Shoko Wakamiya, Tomohiro Nishiyama.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 24 · 232 works · 2,265 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #11849

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

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.

 Works by year

2020s

 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 (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 (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 (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.

Venues

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

Updated

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