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Stephen Wan
Stephen Wan
Data61 CSIRO
在 data61.csiro.au 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Detecting suicidality on Twitter
B O'dea, S Wan, PJ Batterham, AL Calear, C Paris, H Christensen
Internet Interventions 2 (2), 183-188, 2015
5002015
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
2282006
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
1681998
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
1112020
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
1092007
Generating overview summaries of ongoing email thread discussions
S Wan, K McKeown
COLING 2004: Proceedings of the 20th International Conference on …, 2004
1012004
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
472009
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
462017
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
452011
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
382016
Improving government services with social media feedback
S Wan, C Paris
Proceedings of the 19th international conference on Intelligent User …, 2014
372014
Generating Personal Travel Guides-and who wants them?
C Paris, S Wan, R Wilkinson, M Wu
International Conference on User Modeling, 251-253, 2001
322001
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
302019
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
292021
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
252019
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
252012
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
222016
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
212010
Using thematic information in statistical headline generation
S Wan, M Dras, C Paris, R Dale
Proceedings of the ACL 2003 workshop on Multilingual summarization and …, 2003
212003
Understanding public emotional reactions on twitter
S Wan, C Paris
Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015
202015
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