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Grammatical Error Correction: A Survey of the State of the Art [pdf] [arXiv]
Computational Linguistics, 2023
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How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics
In Findings of the Association for Computational Linguistics: ACL 2023, to appear
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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; 7(3):220
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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]
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 [pdf] [publisher's website]
In Gaber M., Cocea M., Wiratunga N., Goker A. (eds) Advances in Social Media Analysis. Studies in Computational Intelligence, vol 602. Springer, Cham, 2015
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To err is human, to correct is divine [pdf]
In XRDS: Crossroads, The ACM Magazine for Students, Volume 21, Issue 1, 2014
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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)
