Research Tags: Data Science

Text preprocessing for unsupervised learning: Why it matters, when it misleads, and what to do about it (Political Analysis, 2018)

General and specific utility measures for synthetic data (Royal Statistical Society Series A, 2018)

Learning simpler language models with the differential state framework (Neural Computation, 2017)

Piecewise latent variables for neural variational text processing (EMNLP, 2017)

Adversary resistant deep neural networks with an application to malware detection (KDD, 2017) 

Bag of what? Simple noun phrase extraction for text analysis (EMNLP, NLP + Computational Social Science, 2016)

Racially differentiated language in NFL scouting reports (KDD Large Scale Sports Analytics, 2016)