[CFP] 2nd Workshop on Representation Learning for NLP

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KyungHyun Cho

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Jan 19, 2017, 7:31:55 PM1/19/17
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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): To be announced
- Workshop: 3 or 4 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 (URL to be announced).
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.
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