Second 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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