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researcher

Zheng Yuan

University of Sheffield

4 papers hereh-index 151k citations23 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • University of Sheffield
Homepage
same name
  • Zheng Yuan — 33 papers, h 7
  • Zheng Yuan — 28 papers, h 22
  • Zheng Yuan — 16 papers, h 7
  • Zheng Yuan — 8 papers, h 8
  • Zheng Yuan — 8 papers, h 4
  • Zheng Yuan — 8 papers, h 4

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
20172023
most citedGrammatical Error Correction: A Survey of the State of the Art

115 citations · 116 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 1 cited

The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues

Anaïs Tack, Ekaterina Kochmar, Zheng Yuan +2

This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of gene…

cs.CL2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction

Stuart Mesham, Christopher Bryant, Marek Rei +1

We extend a current sequence-tagging approach to Grammatical Error Correction (GEC) by introducing specialised tags for spelling correction and morphological inflection using the S…

cs.CL2022★ 115 cited

Grammatical Error Correction: A Survey of the State of the Art

Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib +3

Grammatical Error Correction (GEC) is the task of automatically detecting and correcting errors in text. The task not only includes the correction of grammatical errors, such as mi…

cs.CL2017

Artificial Error Generation with Machine Translation and Syntactic Patterns

Marek Rei, Mariano Felice, Zheng Yuan +1

Shortage of available training data is holding back progress in the area of automated error detection. This paper investigates two alternative methods for artificially generating w…

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