Universiteit van Amsterdam


Institute for Logic, Language and Computation

14 - 16 October 2020, Conference on Probability and Meaning (PaM), Gothenburg, Sweden

Date: 14 - 16 October 2020
Location: Gothenburg, Sweden
Deadline: Monday 17 February 2020

Probability and Meaning (PaM) is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP).  PaM will bring together researchers interested in computationally relevant probabilistic approaches to natural language meaning. PaM will include symbolic, machine learning and experimental approaches to this task, as well as hybrid models.

In addition to the main conference, on 5th June 2020 CLASP and the AI Competence for Sweden are organising a one day workshop on AI and Natural Language with emphasis on industrial collaboration. The aim of the workshop is to present cutting edge research in Natural Language Processing and Computational Linguistics and its relation to AI and to bring together researchers and industrial partners mainly from Sweden and the Nordic countries in these areas.

We welcome all probabilistic approaches, developed within a computational framework, to the semantics of natural language for written, spoken, or multimodal communication. Papers are invited on topics in these and closely related areas.

PaM will feature three types of submissions: long papers, student papers, and short papers. All types of papers should be submitted not later than 12th February, 2020. Long papers describe original research, and they must not exceed 8 pages excluding references. Student papers describe original research, and the first author must be a student, or at least 2/3 of the work on a paper should be done by students. Student papers must not exceed 6 pages excluding references. Reviewers will give special support to student authors through mentoring. Short papers present work in progress, or they describe systems and/or projects. They must not exceed 4 pages excluding references.

For more information, see https://sites.google.com/view/pam2020/home.