Connectionists: [CFP] The 2nd Workshop on Representation Learning for NLP

[Kyunghyun Cho]

The 2nd Workshop on Representation Learning for NLP (
https://sites.google.com/site/repl4nlp2017/) invites papers of a
theoretical or experimental nature describing recent advances in vector
space models of meaning, compositionality, and the application of deep
neural networks and spectral methods to NLP. Relevant topics for the
workshop include, but are not limited to, the following areas (in
alphabetical order):

* Analysis of language using eigenvalue, singular value and tensor
decompositions
* Distributional compositional semantics
* Integration of distributional representations with other models
* Knowledge base embedding
* Language modeling for automatic speech recognition, statistical machine
translation, and information retrieval
* Language modeling for logical and natural reasoning
* Latent-variable and representation learning for language
* Multi-modal learning for distributional representations
* Neural networks and deep learning in NLP
* The role of syntax in compositional models
* Spectral learning and the method of moments in NLP
* Language embeddings and their applications

= Important Dates =

Deadline for submission: 21 April 2017
Notification of acceptance: 19 May 2017
Deadline for camera-ready version: 26 May 2017
Early registration deadline (ACL'17): 9 June 2017
Workshop: 3 August 2017

= Submissions =

We solicit three categories of papers: regular workshop papers, extended
abstracts and cross-submissions. Only regular workshop papers will be
included in the proceedings as archival publications, and only regular
workshop papers will be eligible for best paper prizes. All three
categories of papers may be long (maximum 8 pages plus references) or short
(maximum 4 pages plus references). All submissions should be in PDF format
and made through the Softconf website set up for this workshop (
https://www.softconf.com/acl2017/repl4nlp/).

== Regular Workshop Papers ==

Authors should submit a long paper of up to 8 pages, with up to 2
additional pages for references, or a short paper of up to 4 pages, with up
to 2 additional pages for references, following the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). The reported research should be
substantially original. Accepted papers will be presented as posters.
Reviewing will be double-blind, and thus no author information should be
included in the papers; self-reference that identifies the authors should
be avoided or anonymized. Accepted papers will appear in the workshop
proceedings.

=== Best Paper Prizes ===

Thanks to generous support from our sponsors: DeepMind, Microsoft Research,
and Facebook AI Research, we will be awarding a prize of $300 to the three
best regular workshop paper submissions as selected by our program
committee, to be presented at the workshop. Both long and short regular
submissions will be eligible for prizes. Best papers may be given the
opportunity for a brief “lightning” talk to introduce their work.

== Extended Abstracts ==

Preliminary but interesting ideas or results that have not been published
before may be submitted as extended abstracts. Accepted extended abstracts
will be presented as posters, and included in the workshop program and
handbook, but will not be included in the workshop proceedings (and are not
eligible for best paper prizes). Extended abstract submissions are
therefore ideal for preliminary work which would benefit from exposure but
is not ready for publication. Authors should submit a long extended
abstract of up to 8 pages, with up to 2 additional pages for references, or
a short extended abstract of up to 4 pages, with up to 2 additional pages
for references. Submissions should follow the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). Reviewing will be double-blind, and thus
no author information should be included in the papers; self-reference that
identifies the authors should be avoided or anonymized.

== Cross-Submissions ==

In addition to previously unpublished work, we also solicit papers on
relevant topics that have appeared in a non-NLP venue (e.g., workshop or
conference papers at NIPS or ICML). Accepted cross-submissions will be
presented as posters, with an indication of original venue, but will not be
included in the workshop program and handbook, or the workshop proceedings
(and are not eligible for best paper prizes). Cross-submissions are ideal
for related work which would benefit from exposure to the RepL4NLP
audience. Submission length is determined by the original venue. Interested
authors should submit their papers in PDF format through the RepL4NLP
Softconf website (URL to be announced), with a note on the original venue.
Papers in this category do not need to follow the ACL format and selection
will be solely determined by the organizing committee.

= Workshop Sponsors =

Google DeepMind, Microsoft Research, and Facebook
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