| Automatic Text Scoring Using Neural Networks D Alikaniotis, H Yannakoudakis, M Rei Proceedings of ACL 2016, 2016 | 372 | 2016 |
| Semi-supervised Multitask Learning for Sequence Labeling M Rei Proceedings of ACL 2017, 2017 | 323 | 2017 |
| Attending to Characters in Neural Sequence Labeling Models M Rei, GKO Crichton, S Pyysalo Proceedings of COLING 2016, 2016 | 267 | 2016 |
| Sequence classification with human attention M Barrett, J Bingel, N Hollenstein, M Rei, A Søgaard Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 132 | 2018 |
| A Joint Model for Word Embedding and Word Morphology K Cao, M Rei RepL4NLP 2016, 2016 | 121 | 2016 |
| Compositional Sequence Labeling Models for Error Detection in Learner Writing M Rei, H Yannakoudakis Proceedings of ACL 2016, 2016 | 120 | 2016 |
| Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection M Rei, L Bulat, D Kiela, E Shutova In Proceedings of the 2017 Conference on Empirical Methods in Natural …, 2017 | 81 | 2017 |
| Modelling the interplay of metaphor and emotion through multitask learning V Dankers, M Rei, M Lewis, E Shutova Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 77 | 2019 |
| Artificial Error Generation with Machine Translation and Syntactic Patterns M Rei, M Felice, Z Yuan, T Briscoe The 12th Workshop on Innovative Use of NLP for Building Educational …, 2017 | 75 | 2017 |
| Control prefixes for parameter-efficient text generation J Clive, K Cao, M Rei Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation …, 2022 | 69* | 2022 |
| Memorisation versus Generalisation in Pre-trained Language Models M Tänzer, S Ruder, M Rei Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 68* | 2022 |
| Supervising model attention with human explanations for robust natural language inference J Stacey, Y Belinkov, M Rei Proceedings of the AAAI conference on artificial intelligence 36 (10), 11349 …, 2022 | 66* | 2022 |
| Looking for Hyponyms in Vector Space M Rei, T Briscoe Eighteenth Conference on Computational Natural Language Learning, 2014 | 65 | 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 | 64 | 2017 |
| Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens M Rei, A Søgaard Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 62 | 2018 |
| 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 | 60 | 2023 |
| Context is Key: Grammatical Error Detection with Contextual Word Representations S Bell, H Yannakoudakis, M Rei arXiv preprint arXiv:1906.06593, 2019 | 56 | 2019 |
| Jointly learning to label sentences and tokens M Rei, A Søgaard Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6916-6923, 2019 | 44 | 2019 |
| Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays M Rei, R Cummins The 11th Workshop on Innovative Use of NLP for Building Educational …, 2016 | 35 | 2016 |
| Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models M Meeus, S Jain, M Rei, YA de Montjoye arXiv preprint arXiv:2310.15007, 2023 | 34 | 2023 |
Helen YannakoudakisSenior Lecturer, King’s College Londonkcl.ac.uk의 이메일 확인됨