Probability and Meaning (PaM) is a conference organized by the Centre for Linguistic Theory and Studies in Probability (CLASP), http://clasp.gu.se at the Department of Philosophy, Linguistics and Theory of Science (FLoV), http://flov.gu.se/english. It is sponsored by SIGSEM http://sigsem.org, the ACL special interest group on semantics. The PaM conference proceedings will be published online in the ACL Anthology for 2020 as a SIGSEM workshop event.
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.
Authors must submit all types of papers by 12th February, 2020. However, we will allow updated versions to be substituted by 19th February. See https://sites.google.com/view/pam2020/instructions-for-authors for details of the submission procedure.
Topics of interest
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, including (but not limited to) the following:
* probabilistic type theoretic approaches to meaning
* multimodal and grounded approaches to computing meaning
* dialogue modelling and linguistic interaction
* deep learning approaches and probability
* syntax-semantics interface
* alternative approaches to compositional semantics
* inference systems for computational semantics
* recognising textual entailment
* semantic learning
* computational aspects of lexical semantics
* semantics and ontologies
* semantic aspects of language generation
* semantics-pragmatics interface
In addition to the main conference, on 5th June 2020 The Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg 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. More details can be found here: https://sites.google.com/view/ainl2020.
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. They will be presented at the conference either orally or as posters. 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. The papers will be presented orally or as poasters at the conference. Short papers present work in progress, or they describe systems and/or projects. They must not exceed 4 pages excluding references. They will be presented as posters at the conference and summarised in lightning talks. All three types of papers will be published in the conference proceedings in the ACL Anthology.
Submissions should be pdf files and use the Latex or Word templates provided for ACL 2019 submissions.
Papers should be electronically submitted in PDF format via the softconf system at: https://www.softconf.com/j/pam2020 . Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using softconf.
Programme Chairs: Stergios Chatzikyriakidis and Christine Howes
Industry Day Chairs: Simon Dobnik and Staffan Larsson
Student Track Chairs: Vladislav Maraev, Bill Noble and Vidya Somashekarappa -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6302 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20191203/ec9c5ddd/attachment.txt>