22.799, Calls: Computational Ling/ Computational Linguistics (Jrnl)

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LINGUIST List: Vol-22-799. Thu Feb 17 2011. ISSN: 1068 - 4875.

Subject: 22.799, Calls: Computational Ling/ Computational Linguistics (Jrnl)

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1)
Date: 17-Feb-2011
From: Caroline Sporleder [csporled at coli.uni-sb.de]
Subject: Computational Linguistics
 

	
-------------------------Message 1 ---------------------------------- 
Date: Thu, 17 Feb 2011 13:05:20
From: Caroline Sporleder [csporled at coli.uni-sb.de]
Subject: Computational Linguistics 

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Full Title: Computational Linguistics 


Linguistic Field(s): Computational Linguistics 

Call Deadline: 31-Mar-2011 

Deadline Extension: Special Issue of the Computational Linguistics Journal
on Modality and Negation

http://cljournal.org/specials/modality-and-polarity.html

Computational linguistics has seen achievements in handling language at
different levels of abstraction. Systems can more or less reliably
determine who does what to whom when and where. However, texts do not
always express factual information; language is often used to express
uncertainty, opinion, evaluation, or doubt. Accordingly, computational
linguistics has started to take into account the subjective aspects of
language. There is now research that focuses also on determining who states
that someone does something somewhere at a certain point in time
(perspective) and based on what evidence (evidentiality), how certain
someone is about stating something (certainty), the truth value of the
facts being stated (negation), or the subjective evaluation of these facts
(positive/negative opinion).

The treatment of modality and negation is very relevant for all NLP
applications that involve deep text understanding. Hence, the adequate
modeling of these phenomena is of crucial importance to the NLP community
as a whole.

Topics:

For this special issue we solicit full-length article submissions
describing innovative and challenging research on aspects of the
computational modeling and processing of modality and negation. We
specifically invite submissions that take into account linguistic aspects
of the phenomena and bring a theoretical basis to research on computing the
factuality and certainty of the events in a statement, finding the source
and evidence for the statement of a fact, and determining whether a
statement has a truth value. We encourage submissions that have a
substantial analysis component, in the form of an analysis of the task and
data and/or an error analysis of the proposed method. Submissions can
address aspects of either modality or negation or both, provided that they
lead to an enhanced understanding of the phenomena, as opposed to a
straightforward engineering solution.

Possible topics include, but are not limited to:

- Linguistically informed modeling of modality and negation for NLP
- Analysis of the relevant information/knowledge involved in processing
modality and negation
- The computational complexity of processing modality and negation
- Novel machine learning approaches for learning modality and negation
- Processing modality and negation across domains and genres
- The interaction of modality and negation for determining the factuality
of events
- The influence of the linguistic context on the processing of modality and
negation
- Evaluation of systems: metrics and application-based evaluation


Important Dates:

Submission of full articles: 31 March 2011 (extended)
Preliminary decisions: 15 July 2011
Submission of revised articles: 15 Sept. 2011
Final decisions: 1 Nov. 2011
Final versions due: 21 Nov. 2011

Submission Instructions:

Articles submitted to this special issue must adhere to the Style
Guidelines of the Computational Linguistics Journal
(http://cljournal.org/style.html). The
submission guidelines can be found in the Computational Linguistics website
(http://cljournal.org/submissions.html). As in regular submissions to the
journal, paper submissions should be made through the CL electronic
submission system (http://cljournal.org/submissions/index.php/cljournal).

Guest Editors

Roser Morante, CLiPS, University of Antwerp, Belgium
Caroline Sporleder, Computational Linguistics, Saarland University, Germany




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