24.4515, Calls: Computational Linguistics/Sweden
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Tue Nov 12 15:54:05 UTC 2013
LINGUIST List: Vol-24-4515. Tue Nov 12 2013. ISSN: 1069 - 4875.
Subject: 24.4515, Calls: Computational Linguistics/Sweden
Moderator: Damir Cavar, Eastern Michigan U <damir at linguistlist.org>
Monica Macaulay, U of Wisconsin Madison
Rajiv Rao, U of Wisconsin Madison
Joseph Salmons, U of Wisconsin Madison
Mateja Schuck, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
<reviews at linguistlist.org>
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Editor for this issue: Bryn Hauk <bryn at linguistlist.org>
Date: Tue, 12 Nov 2013 10:53:57
From: Kiril Simov [kivs at bultreebank.org]
Subject: Workshop on Deep Language Processing for Quality Applications
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Full Title: Workshop on Deep Language Processing for Quality Applications
Short Title: DeepLP4QApp 2014
Date: 26-Apr-2014 - 26-Apr-2014
Location: Gothenburg, Sweden
Contact Person: Kiril Simov
Meeting Email: kivs at bultreebank.org
Web Site: http://bultreebank.org/DeepLT4QApp/
Linguistic Field(s): Computational Linguistics
Call Deadline: 23-Jan-2014
Workshop on Deep Language Processing for Quality Applications
One-day workshop to be held together with EACL 2014 conference
Gothenburg, Sweden, 26 April 2014
In the last decade, research on language technology applications, such as machine translation (MT), information retrieval and extraction (also cross-linguistic), etc. has benefited from the significant advances obtained with the exploitation of increasingly sophisticated statistical approaches. To a large extent, this advancement has been achieved also by encompassing a host of subsidiary and increasingly more fine-grained linguistic distinctions at the syntactic and semantic levels.
Thus, the NLP mainstream has headed towards the modeling of multilayered linguistic knowledge. To leap forward in terms of the quality of its output, machine translation and other technologies are taking advantage of enhanced capacities for deeper analysis of natural language and massive open online world knowledge that are now becoming available.
In the long run, richer world knowledge will be available, even beyond the current Linked Open Data, with respect to larger datasets, richer semantics enhanced with world facts, and more dynamic conceptual knowledge representation. Concomitantly, the evolutive trend in Natural Language Processing shows a strong integration of the knowledge-poor language processing with the knowledge-rich one, supported by deep grammars and deep language resources.
This workshop joins forces of the former Advanced Treebanking community, as represented by the 2012 LREC Workshop on Advanced Treebanking, with the new stream of projects aimed at high quality applications, most prominently - Machine Translation.
Call for Papers:
The workshop invites papers on progress in the use of deep natural language processing and resources providing deep analyses for a range of applications including, but not limited to, machine translation.
Topics of Interest:
- Deep MT transfer models
- Deep processing of source language
- Deep generation using world knowledge models and/or deep grammars
- MT and IR supported by Linked Open Data
- Speech and dialog systems supported by deep processing
- Modeling deep linguistic knowledge for quality applications
- Statistical models for quality MT and other NLP-related tasks
- Development and exploitation of monolingual and parallel deep language resources: deep grammars, parsebanks, propbanks, valency lexicons and other deep lexical resources, ontologies etc.
- Adaptation of deep language resources to MT and other NLP-related tasks
- Knowledge-based metrics for evaluation
Submission deadline: 23 January 2014
Notification of acceptance: 20 February 2014
Camera-ready papers: 3 March 2014
Workshop date: 26 April 2014
Workshop papers have to meet the requirements for EACL 2014 main conference long papers (http://eacl2014.org/call-for-papers).
LINGUIST List: Vol-24-4515
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