Conference proceedings
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,
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: 10.18653/v1/D17-1297
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: 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
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., 2015. Online representation learning in recurrent neural language models Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing,
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,
Rei, M. and Briscoe, T., 2011. Unsupervised Entailment Detection between Dependency Graph Fragments
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,
Rei, M. and Søgaard, A., Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Rei, M., Gerz, D. and Vulic, I., Scoring Lexical Entailment with a Supervised Directional Similarity Network
Stathopoulos, YA., Baker, S., Rei, M. and Teufel, S., Variable Typing: Assigning Meaning to Variables in Mathematical Text
Barrett, M., Bingel, J., Hollenstein, N., Rei, M. and Søgaard, A., Sequence classification with human attention
Rei, M. and Søgaard, A., Jointly Learning to Label Sentences and Tokens
Rei, M. and Cao, K., A Joint Model for Word Embedding and Word Morphology
Rei, M., Crichton, G. and Pyysalo, S., Attending to characters in neural sequence labeling models
Rei, M., Semi-supervised Multitask Learning for Sequence Labeling
Rei, M., Bulat, LT., Kiela, D. and Shutova, E., Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
Journal articles
Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training. CoRR, v. abs/1707.06841
Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns. CoRR, v. abs/1707.05236
Briscoe, T., Harrison, K., Naish, A., Parker, A., Rei, M., Siddharthan, A., Sinclair, D., Slater, M. and Watson, R., 2011. Intelligent Information Access from Scientific Papers Current Challenges in Patent Information Retrieval,
Theses / dissertations
Rei, M., 2013. Minimally supervised dependency-based methods for natural language processing
