---
title: "Hisami Suzuki — author profile and papers"
description: "Hisami Suzuki: 2 papers on Elamur Research (2004–2026), h-index 17 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/hisami-suzuki/"
---
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# Hisami Suzuki

2 papers on this site · 2004–2026

Hisami Suzuki has 2 papers on this site, in 2004–2026, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Eric Ringger](https://md.research.elamur.ai/free/en/authors/eric-ringger/), [Eugene Charniak](https://md.research.elamur.ai/free/en/authors/eugene-charniak/), [Kouta Nakayama](https://md.research.elamur.ai/free/en/authors/kouta-nakayama/).

[OpenAlex](https://openalex.org/A5100887075) · [**h-index 17**](https://openalex.org/authors/A5100887075) · [70 works](https://openalex.org/works?filter=author.id:A5100887075) · [1 279 citations](https://openalex.org/works?filter=author.id:A5100887075&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/hisami-suzuki/#papers) · [66 citations in our library](https://md.research.elamur.ai/free/en/authors/hisami-suzuki/cited-by/) · 1 more work in our library

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

## Affiliations

- [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/) · Redmond, United States —2000–2022 on 38 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.

## Topics

[Treebanks 1](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/)

### 2000s

[**2004** 1 paper](https://md.research.elamur.ai/free/en/papers/bank-2004-ringger-penn-treebank-evaluate-non-treebank/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Using the Penn Treebank to Evaluate Non-Treebank Parsers](https://md.research.elamur.ai/free/en/papers/bank-2004-ringger-penn-treebank-evaluate-non-treebank/)** *(2004 · 16 citations)* The question is how to compare a parser that was never trained on the Penn Treebank (NLPWin, built at Microsoft Research) with Treebank-trained parsers such as Charniak's, when the two attach modifiers in a different order and use different brackets.
2. **[AnswerCarefully: Creating a Dataset for LLM Safety in Japanese](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/)** *(2026)* Most safety alignment and red-teaming for large language models is done in English. What counts as harmful, however, depends on local culture, taboos, prejudices and crime patterns, and non-English prompts can expose additional weaknesses. Japan had no broad-coverage safety resource, so the authors built…

## Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

## Co-authors here

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

- [Eric Ringger](https://md.research.elamur.ai/free/en/authors/eric-ringger/)
- [Eugene Charniak](https://md.research.elamur.ai/free/en/authors/eugene-charniak/)
- [Kouta Nakayama](https://md.research.elamur.ai/free/en/authors/kouta-nakayama/)
- [Lucy Vanderwende](https://md.research.elamur.ai/free/en/authors/lucy-vanderwende/)
- [Robert C. Moore](https://md.research.elamur.ai/free/en/authors/robert-c-moore/)
- [Satoshi Sekine](https://md.research.elamur.ai/free/en/authors/satoshi-sekine/)
- [Takashi Kodama](https://md.research.elamur.ai/free/en/authors/takashi-kodama/)

## Cited by

Papers of our library cite their works 66 times (of the 140 884 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hisami-suzuki/cited-by/).
