25.2461, Calls: Cognitive Sci, Philosophy of Lang, Ling & Lit, Psycholing, Pragmatics/Canada

[The LINGUIST List]

LINGUIST List: Vol-25-2461. Thu Jun 05 2014. ISSN: 1069 - 4875.

Subject: 25.2461, Calls: Cognitive Sci, Philosophy of Lang, Ling & Lit, Psycholing, Pragmatics/Canada

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Date: Thu, 05 Jun 2014 15:38:50
From: Laura Kertz [laura_kertz at brown.edu]
Subject: Workshop: Can Cognitive Scientists Help Computers Recognize Irony?

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Full Title: 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 Person: Laura Kertz
Meeting Email: irony at brown.edu
Web Site: https://sites.google.com/a/brown.edu/irony/ 

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

Call Deadline: 09-Jun-2014 

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.

2nd Call for Papers:

The deadline for abstract submission has been extended to Jun 9.

We are interested in submissions that explore the use, recognition and comprehension of irony from cognitive science and computer science perspectives. Topics of interest include, but are not limited to:

- Theories of irony and its function
- Classification methods for irony detection
- Descriptions of language resources (corpora) available
- Novel proposals for how computers might better recognize ironic intent
- Social aspects of irony

Abstracts should not be longer than 2 pages and should be sent directly to irony at brown.edu by 6/9/2014. Works in progress, new language resources and proposals describing potential novel directions/approaches to irony detection are all welcome.







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LINGUIST List: Vol-25-2461	
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