Final Call for Papers (Apologies for multiple postings)
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Workshop on Continuous Vector Space Models and their Compositionality
(3rd edition)
Co-located with ACL 2015, Beijing, China
July 31, 2015
Submission deadline: May 14, 2015
https://sites.google.com/site/cvscworkshop2015
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INVITED SPEAKERS
The workshop will showcase presentations from 5 keynote speakers. •
Kyunghyun Cho (Université de Montréal)
• Stephen Clark (University of Cambridge)
• Yoav Goldberg (Bar Ilan University)
• Ray Mooney (University of Texas at Austin)
• Jason Weston (Facebook AI Research)
AIMS AND SCOPE
In recent years, there has been a growing interest in algorithms that
learn and use continuous representations for words, phrases, or
documents in many natural language processing applications. Among many
others, influential proposals that illustrate this trend include latent
Dirichlet allocation, neural network based language models and spectral
methods. These approaches are motivated by improving the generalization
power of the discrete standard models, by dealing with the data sparsity
issue and by efficiently handling a wide context. Despite the success
of single word vector space models, they are limited since they do not
capture compositionality. This prevents them from gaining a deeper
understanding of the semantics of longer phrases, sentences and documents.
Regarding this issue, some pertinent questions arise: should
word/phrase/sentence representations be of the same sort? Could
different linguistic levels require different modelling approaches ? Is
compositionality determined by syntax, and if so, how do we learn/define
it? Should word representations be fixed and obtained distributionally,
or should the encoding be variable? Should word representations be
task-specific, or should they be general?
In this workshop, we invite submissions of papers on continuous vector
space models for natural language processing. Topics of interest
include, but are not limited to:
* Neural networks
* Spectral methods
* Distributional semantic models
* Language modeling for automatic speech recognition, statistical
machine translation, and information retrieval
* Automatic annotation of texts
* Phrase and sentence-level distributional representations
* The role of syntax in compositional models
* Formal and distributional semantic models
* Language modeling for logical and natural reasoning
* Integration of distributional representations with other models
* Multi-modal learning for distributional representations
* Knowledge base embedding
SUBMISSION INFORMATION
Authors should submit a full paper of up to 8 pages in electronic, PDF
format, with up to 2 additional pages for references. The reported
research should be substantially original. The papers will be presented
orally or as posters.
All submissions must be in PDF format and must follow the ACL 2015
formatting requirements (see the ACL 2015 Call For Papers
http://acl2015.org/call_for_papers.html). Reviewing will be
double-blind, and thus no author information should be included in the
papers; self-reference should be avoided as well. Submissions must be
made through the Softconf website set up for this workshop:
https://www.softconf.com/acl2015/CVSC/
Accepted papers will appear in the workshop proceedings, where no
distinction will be made between papers presented orally or as posters.
IMPORTANT DATES
14 May 2015 : Submission deadline
4 June 2015 : Notification of acceptance
21 June 2015 : Camera-ready deadline
31 July 2015 : Workshop
ORGANIZERS
Alexandre Allauzen (LIMSI-CNRS/Université Paris-Sud, France)
Edward Grefenstette (Google DeepMind, UK)
Karl Moritz Hermann (Google DeepMind, UK)
Hugo Larochelle (Université de Sherbrooke, Canada)
Scott Wen-tau Yih (Microsoft Research, USA)
PROGRAM COMMITTEE
Marco Baroni, University of Trento
Yoshua Bengio, Université de Montreal
Phil Blunsom, University of Oxford
Antoine Bordes, Facebook
Leon Bottou, Facebook
Stephen Clark, University of Cambridge
Shay Cohen, University of Edinburgh
Georgiana Dinu, University of Trento
Kevin Duh, Nara Institute of Science and Technology
Yoav Goldberg, Bar Ilan University
Andriy Mnih, Google DeepMind
Mehrnoosh Sadrzadeh, University of London
Mark Steedman, University of Edinburgh
Peter Turney, NRC
Jason Weston, Facebook
Guillaume Wisniewski, LIMSI-CNRS
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