Zheng Yuan

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Christopher BryantAI Research Scientist (Writer), Visiting Researcher (University of Cambridge)Verified email at cam.ac.uk
Ted BriscoeProfessor of Natural Language Processing, MBZUAIVerified email at mbzuai.ac.ae
Marek ReiSenior Lecturer, Imperial College LondonVerified email at imperial.ac.uk
Helen YannakoudakisSenior Lecturer, King’s College LondonVerified email at kcl.ac.uk
Shiva TaslimipoorResearch Associate, University of CambridgeVerified email at cl.cam.ac.uk
Ekaterina KochmarAssistant Professor, Natural Language Processing Department, MBZUAIVerified email at mbzuai.ac.ae
Li NguyenNanyang Technological UniversityVerified email at cam.ac.uk
Hannan CaoNational University of SingaporeVerified email at u.nus.edu
Hwee Tou NgProvost's Chair Professor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Reza QoribNational University of SingaporeVerified email at u.nus.edu
Andrew CainesUniversity of CambridgeVerified email at cam.ac.uk
Luca BenedettoPostdoc Research Associate, University of CambridgeVerified email at cam.ac.uk
Graham SeedCambridge University Press & AssessmentVerified email at cambridgeenglish.org
Matthew PurverProfessor of Computational Linguistics, Queen Mary University of London / Jožef Stefan InstituteVerified email at qmul.ac.uk
Andrea SottanaThe EconomistVerified email at economist.com
Kai ZouFounder CEO, ProtagoLabs, NetMind.ai and AGI odysseyVerified email at protagolabs.com
Bin LiangNetmind.AI ResearcherVerified email at netmind.ai
Anaïs TackPostdoctoral Scholar, Stanford UniversityVerified email at cs.stanford.edu
Felix StahlbergGoogle ResearchVerified email at google.com
Bill ByrneProfessor of Information Engineering, Cambridge UniversityVerified email at eng.cam.ac.uk

Zheng Yuan

Associate Professor, University of Sheffield; Visiting Researcher, University of Cambridge

Verified email at sheffield.ac.uk - Homepage

NLP EdTech Educational NLP CALL


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Grammatical error correction: A survey of the state of the art C Bryant, Z Yuan, MR Qorib, H Cao, HT Ng, T Briscoe Computational Linguistics 49 (3), 643-701, 2023	381	2023
Grammatical error correction using neural machine translation Z Yuan, T Briscoe Proceedings of the 2016 conference of the north American Chapter of the …, 2016	295	2016
Grammatical error correction using hybrid systems and type filtering M Felice, Z Yuan, ØE Andersen, H Yannakoudakis, E Kochmar Proceedings of the eighteenth conference on computational natural language …, 2014	152	2014
Constrained grammatical error correction using statistical machine translation Z Yuan, M Felice Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013	99	2013
Generating artificial errors for grammatical error correction M Felice, Z Yuan Proceedings of the Student Research Workshop at the 14th Conference of the …, 2014	78	2014
Artificial error generation with machine translation and syntactic patterns M Rei, M Felice, Z Yuan, T Briscoe Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017	76	2017
On the application of Large Language Models for language teaching and assessment technology A Caines, L Benedetto, S Taslimipoor, C Davis, Y Gao, O Andersen, ... arXiv preprint arXiv:2307.08393, 2023	69	2023
To err is human, to correct is divine M Felice, Z Yuan XRDS: Crossroads, The ACM Magazine for Students 21 (1), 22-27, 2014	68	2014
Neural sequence-labelling models for grammatical error correction H Yannakoudakis, M Rei, ØE Andersen, Z Yuan Proceedings of the 2017 conference on empirical methods in natural language …, 2017	66	2017
Predicting emotion labels for chinese microblog texts Z Yuan, M Purver Advances in social media analysis, 129-149, 2015	55	2015
Evaluation metrics in the era of GPT-4: Reliably evaluating large language models on sequence to sequence tasks A Sottana, B Liang, K Zou, Z Yuan arXiv preprint arXiv:2310.13800, 2023	52	2023
Multi-class grammatical error detection for correction: A tale of two systems Z Yuan, S Taslimipoor, C Davis, C Bryant Proceedings of the 2021 conference on empirical methods in natural language …, 2021	46	2021
Neural and FST-based approaches to grammatical error correction Z Yuan, F Stahlberg, M Rei, B Byrne, H Yannakoudakis Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019	34	2019
Document-level grammatical error correction Z Yuan, C Bryant Proceedings of the 16th Workshop on Innovative Use of NLP for Building …, 2021	31	2021
Candidate re-ranking for SMT-based grammatical error correction Z Yuan, T Briscoe, M Felice Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016	30	2016
Building educational technologies for code-switching: Current practices, difficulties and future directions L Nguyen, Z Yuan, G Seed Languages 7 (3), 220, 2022	24	2022
Grammatical error correction in non-native English Z Yuan University of Cambridge, Computer Laboratory, 2017	24	2017
The BEA 2023 shared task on generating AI teacher responses in educational dialogues A Tack, E Kochmar, Z Yuan, S Bibauw, C Piech arXiv preprint arXiv:2306.06941, 2023	21	2023
Prompting open-source and commercial language models for grammatical error correction of English learner text C Davis, A Caines, Ø Andersen, S Taslimipoor, H Yannakoudakis, Z Yuan, ... arXiv preprint arXiv:2401.07702, 2024	19	2024
Benefits of alternative evaluation methods for Automated Essay Scoring ØE Andersen, Z Yuan, R Watson, KYF Cheung Proceedings of The 14th International Conference on Educational Data Mining …, 2021	18	2021

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