Підписатись
Zheng Yuan
Zheng Yuan
Assistant Professor, King’s College London; Visiting Researcher, University of Cambridge
Підтверджена електронна адреса в kcl.ac.uk - Домашня сторінка
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Посилання
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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
3762023
Grammatical error correction using neural machine translation
Z Yuan, T Briscoe
Proceedings of the 2016 conference of the north American Chapter of the …, 2016
2932016
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
1522014
Constrained grammatical error correction using statistical machine translation
Z Yuan, M Felice
Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013
972013
Generating artificial errors for grammatical error correction
M Felice, Z Yuan
Proceedings of the Student Research Workshop at the 14th Conference of the …, 2014
782014
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
752017
To err is human, to correct is divine
M Felice, Z Yuan
XRDS: Crossroads, The ACM Magazine for Students 21 (1), 22-27, 2014
672014
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
662017
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
612023
Predicting emotion labels for chinese microblog texts
Z Yuan, M Purver
Advances in social media analysis, 129-149, 2015
552015
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
492023
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
452021
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
332019
Document-level grammatical error correction
Z Yuan, C Bryant
Proceedings of the 16th Workshop on Innovative Use of NLP for Building …, 2021
302021
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
302016
Grammatical error correction in non-native English
Z Yuan
University of Cambridge, Computer Laboratory, 2017
242017
Building educational technologies for code-switching: Current practices, difficulties and future directions
L Nguyen, Z Yuan, G Seed
Languages 7 (3), 220, 2022
232022
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
182023
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
162021
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
132024
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