2019 (No publication date)
Mishra, P., Giannakoudaki, E. and Shutova, E., 2019 (No publication date). Neural Character-based Composition Models for Abuse Detection
Pushkar, M., Del Tredici, M., Giannakoudaki, E. and Shutova, E., 2019 (No publication date). Author Profiling for Abuse Detection
Flachs, S., Lacroix, O., Rei, M., Giannakoudaki, E. and Søgaard, A., 2019 (No publication date). A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors.
Farag, Y., Yannakoudakis, H. and Briscoe, T., 2019 (No publication date). Neural Automated Essay Scoring and Coherence Modeling for Adversarially
Crafted Input Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, pages 263–271, v. Volume 1
Doi: http://doi.org/10.18653/v1/N18-1024
2019 (Accepted for publication)
Mu, J., Giannakoudaki, E. and Shutova, E., 2019 (Accepted for publication). Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics.,
2019
Aglionby, G., Davis, C., Mishra, P., Caines, A., Yannakoudakis, H., Rei, M., Shutova, E. and Buttery, P., 2019. CAMsterdam at SemEval-2019 task 6: Neural and graph-based feature extraction for the identification of offensive tweets NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop,
Mishra, P., Del Tredici, M., Giannakoudaki, E. and Shutova, E., 2019. Abusive Language Detection with Graph Convolutional Networks Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, v. 1
Doi: http://doi.org/10.18653/v1/N19-1221
Farag, Y. and Giannakoudaki, E., 2019. Multi-Task Learning for Coherence Modeling. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.,
2017
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
Shutova, E., Wundsam, A. and Yannakoudakis, H., 2017. Semantic frames and visual scenes: Learning semantic role inventories from image and video descriptions *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings,
Doi: http://doi.org/10.18653/v1/s17-1018
2016
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
2014
Felice, M., Yuan, Z., Andersen, ØE., Yannakoudakis, H. and Kochmar, E., 2014. Grammatical error correction using hybrid systems and type filtering CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task,
Doi: http://doi.org/10.3115/v1/w14-1702
