NLP & Speech
Researchers from the department presented work that covers language models, summarization, social media, code-switching, and sentiment analysis.
PhD student Tuhin Chakrabarty talks about how his research is tapping into the creative side of computer science.
PhD student Tuhin Chakrabarty's thesis about creative writing and large language models was featured in the Washington Post.
About
The Speech and Natural Language Processing groups do fundamental work in language understanding and generation with applications to a wide variety of topics, including summarization, argumentation, persuasion, sentiment, detecting deceptive, emotional and charismatic speech, text-to-speech synthesis, analysis of social media to detect mental illness, abusive language, and radicalization.
The groups collaborate closely on many research projects with each other, with language faculty in other universities, and with Columbia faculty in other disciplines. They also mentor a very large number of master’s and undergraduate research project students who participate in their research each semester. They have regular talks for faculty, students, and the larger New York area community.
Spoken Language Processing Group