2019
Rei, M. and Sogaard, A., 2019. Jointly Learning to Label Sentences and Tokens THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE,
2018 (Accepted for publication)
Rei, M. and Søgaard, A., 2018 (Accepted for publication). Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Doi: http://doi.org/10.17863/CAM.35110
2018
Rei, M., Gerz, D. and Vulić, I., 2018. Scoring lexical entailment with a supervised directional similarity network ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 2
Doi: http://doi.org/10.18653/v1/p18-2101
Stathopoulos, YA., Baker, S., Rei, M. and Teufel, S., 2018. Variable typing: Assigning meaning to variables in mathematical text NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
Barrett, M., Bingel, J., Hollenstein, N., Rei, M. and Søgaard, A., 2018. Sequence classification with human attention CoNLL 2018 - 22nd Conference on Computational Natural Language Learning, Proceedings,
Doi: http://doi.org/10.18653/v1/k18-1030
2017 (Accepted for publication)
Rei, M., Bulat, LT., Kiela, D. and Shutova, E., 2017 (Accepted for publication). Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
2017
Rei, M., 2017. Semi-supervised multitask learning for sequence labeling ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 1
Doi: http://doi.org/10.18653/v1/P17-1194
Rei, M., 2017. Detecting Off-topic Responses to Visual Prompts
Rei, M. and Giannakoudaki, E., 2017. Auxiliary Objectives for Neural Error Detection Models
Giannakoudaki, E., Rei, M., Andersen, OE. and Yuan, Z., 2017. Neural Sequence-Labelling Models for Grammatical Error Correction Proceedings of the 2017 Conference on Empirical Methods in natural Language Processing, v. D17-1
Doi: http://doi.org/10.18653/v1/D17-1297
Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
2016 (Accepted for publication)
Rei, M. and Cao, K., 2016 (Accepted for publication). A Joint Model for Word Embedding and Word Morphology
2016
Rei, M. and Cummins, R., 2016. Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays https://aclweb.org/anthology/volumes/proceedings-of-the-11th-workshop-on-innovative-use-of-nlp-for-building-educational-applications/,
Doi: http://doi.org/10.18653/v1/W16-05
Rei, M., Crichton, GKO. and Pyysalo, S., 2016. Attending to characters in neural sequence labeling models COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
Alikaniotis, D., Yannakoudakis, H. and Rei, M., 2016. Automatic text scoring using neural networks 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
Doi: http://doi.org/10.18653/v1/p16-1068
Rei, M. and Yannakoudakis, H., 2016. Compositional sequence labeling models for error detection in learner writing 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
2015
Rei, M., 2015. Online representation learning in recurrent neural language models Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing,
2014
Rei, M. and Briscoe, T., 2014. Parser lexicalisation through self-learning NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference,
Rei, M. and Briscoe, T., 2014. Looking for Hyponyms in Vector Space. CoNLL,
2011
2010
Rei, M. and Briscoe, T., 2010. Combining manual rules and supervised learning for hedge cue and scope detection Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task,
