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Can We Catch the Elephant? The Evolvement of Hallucination Evaluation on Natural Language Generation: A Survey [arXiv]
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Reducing Redundancy in Japanese-to-English Translation: A Multi-Pipeline Approach for Translating Repeated Elements in Japanese [pdf]
In Proceedings of the Ninth Conference on Machine Translation (WMT 2024)
*Winning system in the WMT24 Non-Repetitive Translation Task
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LLM-based Code-Switched Text Generation for Grammatical Error Correction [pdf] [arXiv]
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
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What can NLP do for linguistics? Towards using grammatical error analysis to document non-standard English features
Linguistics Vanguard 2024; https://doi.org/10.1515/lingvan-2024-0001
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Prompting open-source and commercial language models for grammatical error correction of English learner text [arXiv]
In Findings of the Association for Computational Linguistics: ACL 2024
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A Multi-Task Automated Assessment System for Essay Scoring [publisher's website]
In Proceedings of the 25th International Conference on Artificial Intelligence in Education (AIED 2024)
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An LLM-Enhanced Adversarial Editing System for Lexical Simplification [pdf] [arXiv]
In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
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Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context [pdf] [arXiv]
In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
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Grammatical Error Correction for Code-Switched Sentences by Learners of English [pdf] [arXiv]
In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
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Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks [pdf] [arXiv]
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
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A New Dataset and Method for Creativity Assessment Using the Alternate Uses Task [version submitted for publication]
In Proceedings of the 2023 BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications (IC 2023); https://doi.org/10.1007/978-981-97-0065-3_9
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Grammatical Error Correction: A Survey of the State of the Art [pdf] [arXiv]
Computational Linguistics 2023; https://doi.org/10.1162/coli_a_00478
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The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues [pdf] [arXiv] [website]
In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
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How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics [pdf]
In Findings of the Association for Computational Linguistics: ACL 2023
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On the application of Large Language Models for language teaching and assessment technology [pdf] [arXiv]
In Proceedings of the AIED 2023 Workshop on Empowering Education with LLMs (AIED LLM 2023)
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Code-switching input for machine translation: A case study of Vietnamese-English data
International Journal of Multilingualism 2023; https://doi.org/10.1080/14790718.2023.2224013
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An Extended Sequence Tagging Vocabulary for Grammatical Error Correction [pdf] [arXiv] [code]
In Findings of the Association for Computational Linguistics: EACL 2023
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Building Educational Technologies for Code-Switching: Current Practices, Difficulties and Future Directions [publisher's website][press coverage]
Languages 2022; https://doi.org/10.3390/languages7030220
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Improving Grammatical Error Correction for Multiword Expressions [pdf]
In Proceedings of the 18th Workshop on Multiword Expressions (MWE 2022)
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Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems [pdf]
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)
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Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation [pdf]
In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval 2021)
*Winning system in the SemEval-2021 Task 2 on Multilingual and Cross-lingual Word-in-Context Disambiguation
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Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction [pdf]
In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval 2021)
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Benefits of alternative evaluation methods for Automated Essay Scoring [pdf]
In Proceedings of the 14th International Conference on Educational Data Mining (EDM 2021)
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Document-level grammatical error correction [pdf] [code]
In Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2021)
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Neural and FST-based approaches to grammatical error correction [pdf]
In Proceedings of the 14th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2019)
*Top-ranked system amongst academic submissions in the BEA 2019 Shared Task on Grammatical Error Correction
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Neural sequence modelling for learner error prediction [pdf]
In Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2018)
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Artificial Error Generation with Machine Translation and Syntactic Patterns [pdf] [arXiv]
In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2017)
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Neural Sequence-Labelling Models for Grammatical Error Correction [pdf]
In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)
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Grammatical error correction in non-native English [pdf]
PhD thesis, UCAM-CL-TR-904, University of Cambridge, 2017
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Candidate re-ranking for SMT-based grammatical error correction [pdf]
In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2016)
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Grammatical error correction using neural machine translation [pdf]
In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2016)
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Predicting Emotion Labels for Chinese Microblog Texts [version submitted for publication]
In Gaber M., Cocea M., Wiratunga N., Goker A. (eds) Advances in Social Media Analysis. Studies in Computational Intelligence, vol 602. Springer, Cham, 2015; https://doi.org/10.1007/978-3-319-18458-6_7
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To err is human, to correct is divine
XRDS: Crossroads, The ACM Magazine for Students, Volume 21, Issue 1, 2014; https://doi.org/10.1145/2659833
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Grammatical error correction using hybrid systems and type filtering [pdf]
In Proceedings of the 18th Conference on Computational Natural Language Learning: Shared Task (CoNLL 2014)
*Winning system in the CoNLL 2014 Shared Task on Grammatical Error Correction
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Generating artificial errors for grammatical error correction [pdf]
In Proceedings of the Student Research Workshop at 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014)
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Constrained grammatical error correction using Statistical Machine Translation [pdf]
In Proceedings of the 17th Conference on Computational Natural Language Learning: Shared Task (CoNLL 2013)
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Predicting Emotion Labels for Chinese Microblog Texts [pdf]
In Proceedings of the 1st International Workshop on Sentiment Discovery from Affective Data (SDAD 2012)
