Cecile Paris
Cecile Paris
Acting Chief Scientist, CSIRO's Data61, Australia
Verified email at csiro.au
TitleCited byYear
A survey of trust in social networks
W Sherchan, S Nepal, C Paris
ACM Computing Surveys (CSUR) 45 (4), 1-33, 2013
Planning text for advisory dialogues: Capturing intentional and rhetorical information
JD Moore, CL Paris
Computational linguistics 19 (4), 651-694, 1993
Tailoring object descriptions to a user's level of expertise
CL Paris
Computational Linguistics 14 (3), 64-78, 1988
Explanations in knowledge systems: Design for explainable expert systems
W Swartout, C Paris, J Moore
IEEE Expert 6 (3), 58-64, 1991
Planning text for advisory dialogues
JD Moore, CL Paris
Proceedings of the 27th annual meeting on Association for Computational …, 1989
Intelligent systems for tourism
S Staab, H Werthner, F Ricci, A Zipf, U Gretzel, DR Fesenmaier, C Paris, ...
IEEE intelligent systems, 53-64, 2002
Detecting suicidality on Twitter
B O'dea, S Wan, PJ Batterham, AL Calear, C Paris, H Christensen
Internet Interventions 2 (2), 183-188, 2015
Automatically summarising web sites: is there a way around it?
E Amitay, C Paris
Proceedings of the ninth international conference on Information and …, 2000
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
A support tool for writing multilingual instructions
C Paris, K Vander Linden, M Fischer, A Hartley, L Pemberton, R Power, ...
International Joint Conference on Artificial Intelligence 14, 1398-1404, 1995
Natural language generation in artificial intelligence and computational linguistics
CL Paris, WR Swartout, WC Mann
Springer Science & Business Media, 2013
User modelling in text generation
C Paris
Bloomsbury Publishing, 2015
Talking about your health to strangers: understanding the use of online social networks by patients
N Colineau, C Paris
New review of hypermedia and multimedia 16 (1-2), 141-160, 2010
Method and system for conveying video messages
N Ozkan, C Paris, M Milosavljevic, SK Yap, W Simpson-Young, C Chung, ...
US Patent 6,748,421, 2004
Phrasing a text in terms the user can understand
JA Bateman, C Paris
IJCAI, 1511-1517, 1989
Expressing procedural relationships in multilingual instructions
J Delin, A Hartley, C Paris, D Scott, K Vander Linden
Proceedings of the Seventh International Workshop on Natural Language Generation, 1994
We feel: mapping emotion on Twitter
ME Larsen, TW Boonstra, PJ Batterham, B O’Dea, C Paris, H Christensen
IEEE journal of biomedical and health informatics 19 (4), 1246-1252, 2015
The use of explicit user models in a generation system for tailoring answers to the user’s level of expertise
CL Paris
User models in dialog systems, 200-232, 1989
The use of explicit user models in text generation: tailoring to a user's level of expertise
CL Paris
Text and data mining techniques in adverse drug reaction detection
S Karimi, C Wang, A Metke-Jimenez, R Gaire, C Paris
ACM Computing Surveys (CSUR) 47 (4), 1-39, 2015
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