| Using dependency-based features to take the’para-farce’out of paraphrase S Wan, M Dras, R Dale, C Paris Proceedings of the Australasian language technology workshop 2006, 131-138, 2006 | 210 | 2006 |
| Tree adjoining grammar and the reluctant paraphrasing of text M Dras Macquarie University, 1999 | 106 | 1999 |
| Contrastive analysis and native language identification SMJ Wong, M Dras Proceedings of the Australasian Language Technology Association Workshop …, 2009 | 104 | 2009 |
| Exploiting parse structures for native language identification SMJ Wong, M Dras Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 94 | 2011 |
| Arabic dialect identification using a parallel multidialectal corpus S Malmasi, E Refaee, M Dras Conference of the Pacific Association for Computational Linguistics, 35-53, 2015 | 81 | 2015 |
| VnCoreNLP: A Vietnamese natural language processing toolkit T Vu, DQ Nguyen, DQ Nguyen, M Dras, M Johnson arXiv preprint arXiv:1801.01331, 2018 | 79 | 2018 |
| Language identification using classifier ensembles S Malmasi, M Dras Proceedings of the joint workshop on language technology for closely related …, 2015 | 75 | 2015 |
| GLEU: Automatic evaluation of sentence-level fluency A Mutton, M Dras, S Wan, R Dale Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 68 | 2007 |
| Multilingual native language identification S Malmasi, M Dras Natural Language Engineering 23 (2), 163-215, 2017 | 54 | 2017 |
| Agent-based modeling of the evolution of vowel harmony KD Harrison, M Dras, B Kapicioglu North East Linguistics Society 32 (1), 14, 2002 | 52 | 2002 |
| Generalised differential privacy for text document processing N Fernandes, M Dras, A McIver International Conference on Principles of Security and Trust, 123-148, 2019 | 50 | 2019 |
| Predicting post severity in mental health forums S Malmasi, M Zampieri, M Dras Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016 | 50 | 2016 |
| Stock market prediction with deep learning: A character-based neural language model for event-based trading L dos Santos Pinheiro, M Dras Proceedings of the Australasian Language Technology Association Workshop …, 2017 | 47 | 2017 |
| Approaches for semantic interoperability between domain ontologies B Orgun, M Dras, A Nayak, G James Expert Systems 25 (3), 179-196, 2008 | 47 | 2008 |
| Exploring adaptor grammars for native language identification SMJ Wong, M Dras, M Johnson Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 43 | 2012 |
| Improving grammaticality in statistical sentence generation: Introducing a dependency spanning tree algorithm with an argument satisfaction model S Wan, M Dras, R Dale, C Paris Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 43 | 2009 |
| Ltg at semeval-2016 task 11: Complex word identification with classifier ensembles S Malmasi, M Dras, M Zampieri Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 40 | 2016 |
| Chinese native language identification S Malmasi, M Dras Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 40 | 2014 |
| A fast and accurate Vietnamese word segmenter DQ Nguyen, DQ Nguyen, T Vu, M Dras, M Johnson arXiv preprint arXiv:1709.06307, 2017 | 39 | 2017 |
| Automatic recognition of student engagement using deep learning and facial expression O Mohamad Nezami, M Dras, L Hamey, D Richards, S Wan, C Paris Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 38* | 2019 |
