Kyle Shaffer
Kyle Shaffer
Research Scientist, SDL
Verified email at sdl.com
Title
Cited by
Cited by
Year
Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
S Volkova, K Shaffer, JY Jang, N Hodas
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
1472017
Predicting Speech Acts in MOOC Forum Posts.
J Arguello, K Shaffer
ICWSM, 2-11, 2015
392015
Using social media to predict the future: a systematic literature review
L Phillips, C Dowling, K Shaffer, N Hodas, S Volkova
arXiv preprint arXiv:1706.06134, 2017
362017
Beyond fine tuning: A modular approach to learning on small data
A Anderson, K Shaffer, A Yankov, CD Corley, NO Hodas
arXiv preprint arXiv:1611.01714, 2016
122016
Intrinsic and extrinsic evaluation of spatiotemporal text representations in Twitter streams
L Phillips, K Shaffer, D Arendt, N Hodas, S Volkova
Proceedings of the 2nd Workshop on Representation Learning for NLP, 201-210, 2017
72017
Beyond Fine Tuning: Adding capacity to leverage few labels
NO Hodas, K Shaffer, A Yankov, CD Corley, A Anderson, W Cheney
Proceedings of the 31st Conference on Neural Information Processing Systems, 1-7, 2017
22017
Predicting Speech Acts in MOOC Forum Posts Using Conditional Random Fields
K Shaffer
UNC-Chapel Hill Masters Thesis, 2015
2015
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Articles 1–7