Affiliated Faculty in Computation and Language
Natural language processing is part of a broader multidisciplinary study of computation and language:
- Computational methods to effectively generate, analyze, and ideally understand natural language (natural language processing).
- Computational modeling of how humans process and use language (computational linguistics; e.g., in linguistics, psychology, etc.).
- Computational study of language in society and culture, and NLP for automated content analysis (cultural analytics; e.g. in political science, literature, media studies, etc.).
- Using NLP to make practical tools for users (e.g. in information retrieval, human-computer interaction, educational technology, multimodal systems, etc.).
We list below many faculty at UMass Amherst who teach, research, and collaborate across these related areas. While dividing a multidisciplinary space is always imperfect, for convenience we show faculty in three roughly disciplinary groups: CICS, Linguistics, and the Social Sciences and Humanities.
Information and Computer Sciences
Educational content generation, learner assessment from text
Machine learning, information extraction, knowledge bases
NLP for computational social science, social factors in NLP
Information retrieval and recommendation
UMass Lowell; adjunct affiliate in CICS
Information retrieval and controversy detection
Cultural analytics, interpretability, data-centric interventions
Madalina (Ina) Fiterau
Clinical NLP, multimodal learning
Text generation, QA, representation learning, narratives
Human-computer interaction and civic technology
Computational social science, fair and explainable ML
Razieh Negin Rahimi
Information retrieval and explainable search
Visual recognition, interpretable AI
W. Bruce Croft
Computational phonology, learnability, and acquisition
Phonology and computational models of human learning
Computational prosody, phonetics, phonology
Computational phonology, minoritized languages
Syntactic theory, Hindi/Urdu treebanks
Social Sciences and Humanities
Computational legal studies
Public Policy, Comm., and Information
Media attention, digital governance
NLP and content analysis of political ideologies and media
Historical linguistics and non-literal language
Weiai Wayne Xu
Digital platforms, text models, polarization, disinformation