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Jun Suzuki

13 papers hereh-index 13460 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • eess.AS1
same name
  • Jun Suzuki — 27 papers, h 28
  • Jun Suzuki — 5 papers, h 2
  • Jun Suzuki — 4 papers, h 2
  • Jun Suzuki — 4 papers, h 3
  • Jun Suzuki — 4 papers, h 3
  • Jun Suzuki — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedTowards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond

3 citations · 6 across the 5 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Langsmith: An Interactive Academic Text Revision System

Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka +2

Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing pa…

cs.CL2020

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Masato Mita, Shun Kiyono, Masahiro Kaneko +2

Existing approaches for grammatical error correction (GEC) largely rely on supervised learning with manually created GEC datasets. However, there has been little focus on verifying…

cs.CL2020

Word Rotator's Distance

Sho Yokoi, Ryo Takahashi, Reina Akama +2

A key principle in assessing textual similarity is measuring the degree of semantic overlap between two texts by considering the word alignment. Such alignment-based approaches are…

cs.CL2020

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Reina Akama, Sho Yokoi, Jun Suzuki +1

Large-scale dialogue datasets have recently become available for training neural dialogue agents. However, these datasets have been reported to contain a non-negligible number of u…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.