NLP & Speech
Several recent papers identify deceptive behavior, looking at within- and cross-culture
differences, and investigating also verbal cues to predict deceptive strategies within cultures.
“Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms” laid the foundation for how to use machine learning methods across a range of NLP tasks.
"Turn-taking cues in task-oriented dialogue" is named by International Speech and Communications Association as best paper published in Computer Speech and Language, 2011–2015.
About
Natural Language Processing and Spoken Language Processing involves computational approaches to the analysis and generation of text and speech. At Columbia these include text and speech summarization, question answering, machine translation, syntax and parsing, language generation, spoken dialogue systems, semantic representation and analysis, and the study of emotional and deceptive speech, in English, Arabic, and Mandarin, inter alia.
Spoken Language Processing Group 
Natural Language Processing Group 
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