Kyle Shaffer
Kyle Shaffer
Research Scientist, SDL
Verified email at
Cited by
Cited by
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
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
Predicting speech acts in MOOC forum posts
J Arguello, K Shaffer
Ninth international AAAI conference on web and social media, 2015
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
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
Beyond fine tuning: Adding capacity to leverage few labels
NO Hodas, KJ Shaffer, A Yankov, CD Corley, AL Anderson
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2017
Predicting Speech Acts in MOOC Forum Posts Using Conditional Random Fields
K Shaffer
UNC-Chapel Hill Masters Thesis, 2015
The system can't perform the operation now. Try again later.
Articles 1–7