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Research Tags: Text

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

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

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

Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild (IEEE Computer Vision and Pattern Recognition, 2017)

Smart Library: Identifying books on library shelves using supervised deep learning for scene text reading (Digital Libraries, 2017)

NFL draft profiles are full of racial stereotypes. And that matters for when quarterbacks get drafted (Washington Post, 2017) 

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

Using prerequisites to extract concept maps from textbooks (ACM Information and Knowledge Management, 2016)

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

Crowdsourcing the measurement of interstate conflict (PLoS ONE, 2016)

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