26.546, Calls: Computational Linguistics, Discourse Analysis/China

[The LINGUIST List via LINGUIST]

LINGUIST List: Vol-26-546. Mon Jan 26 2015. ISSN: 1069 - 4875.

Subject: 26.546, Calls: Computational Linguistics, Discourse Analysis/China

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Date: Mon, 26 Jan 2015 17:17:09
From: Erik Tjong Kim Sang [erikt at xs4all.nl]
Subject: 19th Conference on Computational Natural Language Learning

 
Full Title: 19th Conference on Computational Natural Language Learning 
Short Title: CoNLL-2015 

Date: 30-Jul-2015 - 31-Jul-2015
Location: Beijing, China 
Contact Person: Afra Alishahi
Meeting Email: conll2015 at conll.org
Web Site: http://www.conll.org 

Linguistic Field(s): Computational Linguistics; Discourse Analysis 

Call Deadline: 04-May-2015 

Meeting Description:

CoNLL-2015
Nineteenth Conference on Computational Natural Language Learning
July 30-31, 2015
Beijing, China
http://www.conll.org/

CoNLL is a top-tier conference, yearly organized by SIGNLL (the ACL Special Interest Group on Natural Language Learning). This year, CoNLL will be collocated with ACL 2015 in Beijing, China and for the first time, it will accept both long and short papers.

The shared task of CoNLL will be Shallow Discourse Parsing (SDP), see
http://www.cs.brandeis.edu/~clp/conll15st

Call for Papers:

CoNLL, the Conference on Natural Language Learning, is yearly meeting of SIGNLL, the Special Interest Group on Natural Language Learning of the Association for Computational Linguistics. The 2015 edition will accept both long and short papers, and includes a shared task on Shallow Discourse Parsing.

Important Dates:

Paper submission deadline: May 4, 2015, 23:59 EST (GMT-6)
Notification of acceptance:June 15, 2015
Camera-ready copy deadline: June 21, 2015
Conference: July 30-31 (after ACL 2015)

Topics:

We invite the submission of papers on all aspects of computational approaches to natural language learning, including, but not limited to:

- Development and empirical evaluation of machine learning methods applied to any natural language or speech processing task in supervised, semi-supervised or unsupervised settings (e.g. structured prediction, graphical models, deep learning, relational learning, reinforcement learning, etc.).

- Theoretical analyses of learning-based approaches to natural language processing.

- Computational models of human language acquisition and processing, models of language evolution and change, and simulation and analysis of psycholinguistic findings.

Conference Chairs:

Afra Alishahi
Tilburg center for Cognition and Communication
Tilburg University, Netherlands

Alessandro Moschitti
Qatar Computing Research Institute

Contact email: conll2015 at conll.org
For more information see: http://www.conll.org/cfp-2015







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