Jun Suzuki

Jun Suzuki has 2 papers in our library, in 2014–2025, most of them on Discourse analysis, Language models & pretraining, Summarization; often with Masaaki Nagata, Tsutomu Hirao.

2 papers in our library · 2014–2025

current affiliationYamagata University, Yamagata, Japan; J-Power (Japan), Tokyo, Japan; Tohoku University, Sendai, Japan; RIKEN, Wako, Japan

OpenAlex · ORCID · h-index 30 · 459 works · 3 972 citations OpenAlex, 2026-10-14

2 works in our library · 98 citations in our library · 4 more works in our library · ⭐ Paper Star rank #4115

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

Tohoku University · Sendai, Japan — current · 2010–2026 on 87 papers
RIKEN · Wako, Japan — current · 2018–2026 on 49 papers
J-Power (Japan) · Tokyo, Japan — current · 2026 on 1 paper
Yamagata University · Yamagata, Japan — current · 2026 on 1 paper
Tokyo Institute of Technology · Tokyo, Japan — 1994–2024 on 6 papers
SKY Perfect JSAT Corporation (Japan) · Tokyo, Japan — 2021–2024 on 4 papers
NTT (Japan) · Tokyo, Japan — 2002–2023 on 57 papers
RIKEN Center for Advanced Intelligence Project · Tokyo, Japan — 2018–2023 on 18 papers
The University of Tokyo · Tokyo, Japan — 2000–2023 on 12 papers
Nidek (Japan) · Gamagōri, Japan — 2009–2021 on 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 more institutions on single bylines are not listed.

Topics

Discourse analysis1 Language models & pretraining1 Summarization1 Psycholinguistics & language acquisition1

Works by year

2020s

20251 paper

2010s

20141 paper

Papers

The most cited first (OpenAlex and our library).

Dependency-based Discourse Parser for Single-Document Summarization (2014 · 113 citations)
Discourse-aware extractive summarization depends on accurate discourse trees, and automatic RST parsers produce errors that lower summary quality.
Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development (2025 · 1 citation)
The authors attempt to narrow the gap between large language models, which require enormous corpora, and children, who acquire language from a far smaller number of words.

Also in our library

4 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

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

Cited by

Papers of our library cite their works 98 times (of the 140 884 papers whose bibliographies we read); 29 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jun-suzuki/

🧑‍🔬 Jun Suzuki