25.2148, Confs: Cognitive Sci, Philosophy of Lang, Ling & Lit, Psycholing, Pragmatics/Canada

The LINGUIST List linguist at linguistlist.org
Thu May 15 15:47:59 UTC 2014


LINGUIST List: Vol-25-2148. Thu May 15 2014. ISSN: 1069 - 4875.

Subject: 25.2148, Confs: Cognitive Sci, Philosophy of Lang, Ling & Lit, Psycholing, Pragmatics/Canada

Moderators: Damir Cavar, Eastern Michigan U <damir at linguistlist.org>

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Date: Thu, 15 May 2014 11:45:55
From: Laura Kertz [laura_kertz at brown.edu]
Subject: Workshop: Can Cognitive Scientists Help Computers Recognize Irony?

E-mail this message to a friend:
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Workshop: Can Cognitive Scientists Help Computers Recognize Irony? 
Short Title: Irony at CogSci 2014 

Date: 23-Jul-2014 - 23-Jul-2014 
Location: Quebec City, Canada 
Contact: Laura Kertz 
Contact Email: irony at brown.edu 
Meeting URL: https://sites.google.com/a/brown.edu/irony/ 

Linguistic Field(s): Cognitive Science; Ling & Literature; Philosophy of Language; Pragmatics; Psycholinguistics 

Meeting Description: 

Irony is an important rhetorical device that takes many forms. The successful ironist effectively communicates something other than (and often opposite to) what he or she has literally said. Historically, the ironic voice has been studied by researchers in philosophy, language, social cognition and cognitive science. More recently, the problem of automatically detecting irony has garnered attention from computer scientists working in machine learning (ML) and natural language processing (NLP).
               
But classifying utterances as ironic  has proven uniquely difficult. The standard ML approach to text classification is the 'bag-of-words' approach. With a sufficient amount of manually categorized examples (i.e., training data), such models can be extremely successful in a variety of classification tasks, e.g., spam filtering. But irony detection has proven to be much harder. Our view is that cognitive scientists may have much to offer computer science researchers interested in this problem.

Capitalizing on the co-location of CogSci with AAAI, this workshop thus aims to bring cognitive and computer scientists together to explore novel models for irony detection. In particular, we believe that developing representations of speakers and contexts and building models that factor these representations into judgments of utterances may drastically improve automated irony detection. 

Confirmed invited speakers:

Greg Bryant (Communication Studies,  UCLA)
Ellen Riloff (School of Computing, University of Utah)
Vera Tobin (Cognitive Science, Case Western)

Organizers:

Byron Wallace (Brown University)
Laura Kertz (Brown University)

Program Committee:

Eugene Charniak (Brown University)
Do Kook Choe (Brown University)
Seana Coulson (University of California, San Diego)
Byron Wallace (Brown University)
Laura Kertz (Brown University)
Stephanie Lukin (University of California, Santa Cruz)
Horacio Saggion (Universitat Pompeu Fabra)

Workshop date and time:

Wed July 23 14:00 - 15:30

More information:

https://sites.google.com/a/brown.edu/irony/

http://cognitivesciencesociety.org/conference2014/index.html

Mail to:

irony at brown.edu








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