In the "Machine Learning, Cognitive Modeling, and Natural Language Processing" (MLCMNLP) group, we are looking at bringing cognitive modeling and theoretical linguistics together with corpus-based, machine learning approaches to both traditional and recent natural language processing problems. We cover a variety of activities with a particular emphasis on language resource development and applications of human-collected data, be it annotations or experimental results from psycholinguistic research.
Members of the group:
- Asad Sayeed (group leader)
- More or less everyone else in CLASP (faculty, Ph.D. students, postdocs) who is interested in machine learning approaches and human cognitive plausibility; these days this is literally just everyone.
Ph.D. students (of whom Asad is first supervisor)
- Vidya Somashekarappa
- Axel Almquist
- Machine Learning, Cognitive Modeling, and Natural Language Processing (standing project/reading course)
- It's evaluation's world, we just live in it (to be offered second half of Fall 2020)
- Devdatt Dubhashi's group at Chalmers
- Yuval Marton (Bloomberg/University of Washington)
- Vera Demberg's group at Saarland University
- . . . and others, we are always seeking out collaboration opportunities.
- Gothenburg Research Initiative for Politically Emergent Systems (GRIPES) -- Marianne och Marcus Wallenbergstiftelsen, WASP-HS