Chris Kedzie
Chris Kedzie
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TitleCited byYear
Predicting salient updates for disaster summarization
C Kedzie, K McKeown, F Diaz
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Content selection in deep learning models of summarization
C Kedzie, K McKeown, H Daume III
arXiv preprint arXiv:1810.12343, 2018
Real-time web scale event summarization using sequential decision making
C Kedzie, F Diaz, K McKeown
arXiv preprint arXiv:1605.03664, 2016
Multimodal social media analysis for gang violence prevention
P Blandfort, DU Patton, WR Frey, S Karaman, S Bhargava, FT Lee, ...
Proceedings of the International AAAI conference on web and social media 13 …, 2019
Summarizing disasters over time
C Kedzie, K McKeown, F Diaz
Proc. Bloomberg Workshop on Social Good (with SIGKDD), 2014
Detecting gang-involved escalation on social media using context
S Chang, R Zhong, E Adams, FT Lee, S Varia, D Patton, W Frey, C Kedzie, ...
arXiv preprint arXiv:1809.03632, 2018
Extractive and Abstractive Event Summarization over Streaming Web Text.
C Kedzie, KR McKeown
IJCAI, 4002-4003, 2016
Low-Level Linguistic Controls for Style Transfer and Content Preservation
K Gero, C Kedzie, J Reeve, L Chilton
arXiv preprint arXiv:1911.03385, 2019
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
C Kedzie, K McKeown
arXiv preprint arXiv:1911.03373, 2019
Surprise Languages: Rapid-Response Cross-Language IR
DW Oard, M Carpuat, P Galuščáková, J Barrow, S Nair, X Niu, HC Shing, ...
Surprise Language Evaluation: Rapid-Response Cross-Language IR
J Barrow, S Nair, X Niu, HC Shing, W Xu, E Zotkina, R Eskander, ...
Learning a Graphical Model of Bloomberg Financial and News Data
K Tang, H Gubert, R Tonge, A Wang, L Wu, D Campbell, C Kedzie, ...
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