Detecting suicidality on Twitter B O'dea, S Wan, PJ Batterham, AL Calear, C Paris, H Christensen Internet Interventions 2 (2), 183-188, 2015 | 520 | 2015 |
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 | 227 | 2006 |
Automatic English-Chinese name transliteration for development of multilingual resources S Wan, K Verspoor 36th Annual Meeting of the Association for Computational Linguistics and …, 1998 | 168 | 1998 |
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 …, 2020 | 129 | 2020 |
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 | 117 | 2007 |
Generating overview summaries of ongoing email thread discussions S Wan, K McKeown COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 99 | 2004 |
Demographic inference on twitter using recursive neural networks S Mac Kim, Q Xu, L Qu, S Wan, C Paris Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 47 | 2017 |
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 | 47 | 2009 |
Listening to the community: social media monitoring tasks for improving government services C Paris, S Wan CHI'11 Extended Abstracts on Human Factors in Computing Systems, 2095-2100, 2011 | 45 | 2011 |
Data61-csiro systems at the clpsych 2016 shared task S Mac Kim, Y Wang, S Wan, C Paris Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016 | 40 | 2016 |
Improving government services with social media feedback S Wan, C Paris Proceedings of the 19th international conference on Intelligent User …, 2014 | 38 | 2014 |
Mention flags (MF): Constraining transformer-based text generators Y Wang, I Wood, S Wan, M Dras, M Johnson Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 32 | 2021 |
How to best use syntax in semantic role labelling Y Wang, M Johnson, S Wan, Y Sun, W Wang arXiv preprint arXiv:1906.00266, 2019 | 32 | 2019 |
Generating Personal Travel Guides-and who wants them? C Paris, S Wan, R Wilkinson, M Wu International Conference on User Modeling, 251-253, 2001 | 32 | 2001 |
Differences in language and style between two social media communities C Paris, P Thomas, S Wan Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012 | 27 | 2012 |
Towards generating stylized image captions via adversarial training O Mohamad Nezami, M Dras, S Wan, C Paris, L Hamey PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 26 | 2019 |
Csiro data61 at the wnut geo shared task G Jayasinghe, B Jin, J Mchugh, B Robinson, S Wan Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 218-226, 2016 | 22 | 2016 |
Red-faced ROUGE: Examining the suitability of ROUGE for opinion summary evaluation W Tay, A Joshi, XJ Zhang, S Karimi, S Wan Proceedings of the 17th Annual Workshop of the Australasian Language …, 2019 | 21 | 2019 |
Understanding public emotional reactions on twitter S Wan, C Paris Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 21 | 2015 |
Supporting browsing-specific information needs: introducing the citation-sensitive in-browser summariser S Wan, C Paris, R Dale Web Semantics: Science, Services and Agents on the World Wide Web 8 (2-3 …, 2010 | 21 | 2010 |