Research groups

In the Cognitive systems research group we are looking at formal and distributional models (and anything in between) of language used by situated agents interacting with each other and with the physical world around them through action and perception.
We investigate areas such representations of meaning in computational approaches to language, action, and perception, for example of spatial descriptions, generations and interpretation of scene description, multi-modal communication, situated dialogue systems, and other.

Members:​​​​

• Simon Dobnik (group leader)
• Nikolai Ilinykh
• Robin Cooper

Previous members:

• Elham Alighardash
• Aram Karimi
• Vidya Somashekarappa
• Adam Ek
• Bill Noble
• Vladislav Maraev
• Tewodros Gebreselassie
• Kathrein Abu Kwaik (Chatrine Qwaider)
• Wafia Adouane
• Mehdi Ghanimifard

Several other members of CLASP have occasionally collaborated with the group.

Masters students (theses):

• Dominik Künkele, learning through interaction
• Ekaterina (Katya Voloshina), probing grounded language models
• Chen Xi, grounding relations in object affordances

Join as a postdoc or a PhD student in the associated Grandma Karl research environment.

Join us every even Friday in our reading group.

Attend a doctoral course.

Please find more information on the group's website.

We study dialogue from a number of different perspectives, including experimental, computational, formal and qualitative methods.

We have a dialogue reading group which meets fortnightly, please see our website for more details.

The main people in the dialogue research group are:

Christine Howes (group leader)
Ellen Breitholtz
Robin Cooper
Staffan Larsson
Eleni Gregoromichelaki
Ruth Kempson

PhD students:
Alexander Berman                                                                                       

In addition, the following members of CLASP have research which overlaps with our area:

Simon Dobnik
Asad Sayeed

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: In the "Machine Learning, Cognitive Modeling, and Natural Language Processing"

• 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)

• Axel Almquist

Ph.D. courses

• 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)

International collaborations

• 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.

Funded projects

• Gothenburg Research Initiative for Politically Emergent Systems (GRIPES) -- Marianne och Marcus Wallenbergstiftelsen, WASP-HS

The Type Theory group is devoted to the study of Type Theoretical methods for NLP and Formal Semantics. The group is led by Rasmus Blanck.

Group members:

• Rasmus Blanck
• Ellen Breitholtz
• Shalom Lappin
• Robin Cooper
• Staffan Larsson

The group’s activities involve invited talks by prominent researchers in the field, organizing workshops on Type Theory and exploring connections between Type Theory and Probability and/or Machine Learning.