22.349, Calls: Comp. Ling. / Computational Linguistics (Jrnl)

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LINGUIST List: Vol-22-349. Thu Jan 20 2011. ISSN: 1068 - 4875.

Subject: 22.349, Calls: Comp. Ling. / Computational Linguistics (Jrnl)

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1)
Date: 20-Jan-2011
From: Caroline Sporleder [csporled at coli.uni-sb.de]
Subject: Computational Linguistics
 

	
-------------------------Message 1 ---------------------------------- 
Date: Thu, 20 Jan 2011 13:23:01
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: 10-Mar-2011 

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 
modelling 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 modelling 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: 10 March 2011
Preliminary decisions to authors:  31 June 2011
Submission of revised articles: 30 August 2011
Final decisions to authors: 18 October 2011
Final versions due from authors: 1 November 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 web 
site (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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