Connectionists: 1st Workshop on Representation Learning for NLP: Call for Papers

Kyunghyun Cho kyunghyun.cho at nyu.edu
Sun Jan 10 14:53:30 EST 2016


The 1st Workshop on Representation Learning for NLP (
https://sites.google.com/site/repl4nlp2016/) invites papers of a
theoretical or experimental nature on all relevant topics. 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: 8 May 2016
- Notification of acceptance: 5 June 2016
- Deadline for camera-ready version: 22 June 2016
- Early registration deadline (ACL'16): To be announced.
- Workshop: 11 August 2016

Submissions

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. Accepted papers will be presented as
posters. Selected papers may also be presented orally at the discretion of
the committee.

All submissions must be in PDF format and must follow the ACL 2016
formatting requirements. See the ACL 2016 Call For Papers for reference:
http://acl2016.org/index.php?article_id=9.

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.

Submissions must be made through the Softconf website set up for this
workshop: https://www.softconf.com/acl2016/repl4nlp2016/. Style files and
other information about paper formatting requirements will be made
available on the conference website, http://acl2016.org.

Accepted papers will appear in the workshop proceedings, where no
distinction will be made on the basis of length or mode of presentation.

Organizers

- Phil Blunsom, University of Oxford and Google DeepMind
- Kyunghyun Cho, NYU
- Shay Cohen, University of Edinburgh
- Edward Grefenstette, Google DeepMind
- Karl Moritz Hermann, Google DeepMind
- Laura Rimell, University of Cambridge
- Jason Weston, Facebook
- Scott Wen-tau Yih, Microsoft Research
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