Zheng Yuan

According to our database, Zheng Yuan authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Grammatical Error Correction for Code-Switched Sentences by Learners of English.

Kelvin Wey Han Chan, Christopher Bryant, Li Nguyen, Andrew Caines, Zheng Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Multi-task Automated Assessment System for Essay Scoring.

Shigeng Chen, Yunshi Lan, Zheng Yuan

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

Prompting open-source and commercial language models for grammatical error correction of English learner text.

Christopher Davis, Andrew Caines, Øistein E. Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, Paula Buttery

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib, Hannan Cao, Hwee Tou Ng, Ted Briscoe

Comput. Linguistics, September, 2023

On the application of Large Language Models for language teaching and assessment technology.

Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Oeistein Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery

CoRR, 2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction.

Stuart Mesham, Christopher Bryant, Marek Rei, Zheng Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

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

Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

On the Application of Large Language Models for Language Teaching and Assessment Technology.

Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Øistein E. Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery

Proceedings of the Workshop on Empowering Education with LLMs, 2023

How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics.

Li Nguyen, Christopher Bryant, Oliver Mayeux, Zheng Yuan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improving Grammatical Error Correction for Multiword Expressions.

Shiva Taslimipoor, Christopher Bryant, Zheng Yuan

Proceedings of the 18th Workshop on Multiword Expressions, 2022

2021

Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction.

Zheng Yuan, Gladys Tyen, David Strohmaier

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation.

Zheng Yuan, David Strohmaier

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems.

Zheng Yuan, Shiva Taslimipoor, Christopher Davis, Christopher Bryant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Benefits of alternative evaluation methods for Automated Essay Scoring.

Øistein E. Andersen, Rebecca Watson, Zheng Yuan, Kevin Yet Fong Cheung

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Document-level grammatical error correction.

Zheng Yuan, Christopher Bryant

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

2019

Neural and FST-based approaches to grammatical error correction.

Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2017

Neural Sequence-Labelling Models for Grammatical Error Correction.

Helen Yannakoudakis, Marek Rei, Øistein E. Andersen, Zheng Yuan

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Artificial Error Generation with Machine Translation and Syntactic Patterns.

Marek Rei, Mariano Felice, Zheng Yuan, Ted Briscoe

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2016

Grammatical error correction using neural machine translation.

Zheng Yuan, Ted Briscoe

Proceedings of the NAACL HLT 2016, 2016

Candidate re-ranking for SMT-based grammatical error correction.

Zheng Yuan, Ted Briscoe, Mariano Felice

Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

2015

Predicting Emotion Labels for Chinese Microblog Texts.

Zheng Yuan, Matthew Purver

Proceedings of the Advances in Social Media Analysis, 2015

2014

To err is human, to correct is divine.

Mariano Felice, Zheng Yuan

XRDS, 2014

Generating artificial errors for grammatical error correction.

Mariano Felice, Zheng Yuan

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Grammatical error correction using hybrid systems and type filtering.

Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis, Ekaterina Kochmar

Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

2013

Constrained Grammatical Error Correction using Statistical Machine Translation.

Zheng Yuan, Mariano Felice

Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

2012

Predicting Emotion Labels for Chinese Microblog Texts.

Zheng Yuan, Matthew Purver

Proceedings of the 1st International Workshop on Sentiment Discovery from Affective Data, 2012