28.5222, Calls: Computational Linguistics/USA

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LINGUIST List: Vol-28-5222. Mon Dec 11 2017. ISSN: 1069 - 4875.

Subject: 28.5222, Calls: Computational Linguistics/USA

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Date: Mon, 11 Dec 2017 14:35:10
From: Ekaterina Shutova [es407 at cam.ac.uk]
Subject: Workshop on Figurative Language Processing

 
Full Title: Workshop on Figurative Language Processing 

Date: 05-Jun-2018 - 06-Jun-2018
Location: New Orleans, USA 
Contact Person: Ekaterina Shutova
Meeting Email: es407 at cam.ac.uk
Web Site: https://sites.google.com/site/figlangworkshop/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 12-Mar-2018 

Meeting Description:

NAACL 2018 Workshop on Figurative Language Processing
New Orleans, Louisiana, USA – June 5 or 6, 2018
https://sites.google.com/site/figlangworkshop/

Submission deadline: March 12, 2018

Figurative language processing is a rapidly growing area in NLP, including
processing of metaphors, idioms, puns, irony, sarcasm, as well as other
figures. Characteristic to all areas of human activity (from poetic to
ordinary to scientific) and, thus, to all types of discourse, figurative
language becomes an important problem for NLP systems. Its ubiquity in
language has been established in a number of corpus studies and the role it
plays in human reasoning has been confirmed in psychological experiments. This
makes figurative language an important research area for computational and
cognitive linguistics, and its automatic identification and interpretation
indispensable for any semantics-oriented NLP application.

The work on figurative language in NLP and AI started in the 1980s, mainly
focusing on metaphor and metonymy, and providing us with a wealth of ideas on
the structure and mechanisms of these phenomena. In recent years, the problem
of figurative language understanding has been steadily gaining interest within
the NLP community, with a growing number of approaches exploiting statistical
techniques and venturing into further areas, such as sarcasm, irony and puns.
Advances in other areas of computational semantics continue to open many new
avenues for the creation of open-domain, large-scale tools for recognition,
interpretation, and generation of figurative language. In addition, the growth
of the area of social media analysis provides an exciting platform to study
figurative language in its social and pragmatic context.

The goal of the proposed workshop is to build upon the successful start of the
Metaphor in NLP workshop series, substantially expanding its scope to
incorporate the rapidly growing body of research on various types of
figurative language in NLP, with the aim of maintaining and nourishing a
community of NLP researchers interested in this topic. The main focus of the
workshop will be on computational modelling of figurative language using
state-of-the-art NLP techniques. However, papers on cognitive, linguistic,
social, rhetorical, and applied aspects are also of interest, provided that
they are presented within a computational, a formal, or a quantitative
framework. In addition, we will also conduct a shared task on metaphor
detection.

Workshop Co-Chairs

Beata Beigman Klebanov, Educational Testing Service, USA
Ekaterina Shutova, University of Cambridge, UK
Smaranda Muresan, Columbia University, USA
Patricia Lichtenstein, University of California, Merced, USA
Ben Leong, Educational Testing Service, USA


Call for Papers:

Submission deadline: March 12, 2018

Figurative language processing is a rapidly growing area in NLP, including
processing of metaphors, idioms, puns, irony, sarcasm, as well as other
figures. Characteristic to all areas of human activity (from poetic to
ordinary to scientific) and, thus, to all types of discourse, figurative
language becomes an important problem for NLP systems. Its ubiquity in
language has been established in a number of corpus studies and the role it
plays in human reasoning has been confirmed in psychological experiments. This
makes figurative language an important research area for computational and
cognitive linguistics, and its automatic identification and interpretation
indispensable for any semantics-oriented NLP application.

The work on figurative language in NLP and AI started in the 1980s, mainly
focusing on metaphor and metonymy, and providing us with a wealth of ideas on
the structure and mechanisms of these phenomena. In recent years, the problem
of figurative language understanding has been steadily gaining interest within
the NLP community, with a growing number of approaches exploiting statistical
techniques and venturing into further areas, such as sarcasm, irony and puns.
Advances in other areas of computational semantics continue to open many new
avenues for the creation of open-domain, large-scale tools for recognition,
interpretation, and generation of figurative language. In addition, the growth
of the area of social media analysis provides an exciting platform to study
figurative language in its social and pragmatic context.

The goal of the proposed workshop is to build upon the successful start of the
Metaphor in NLP workshop series, substantially expanding its scope to
incorporate the rapidly growing body of research on various types of
figurative language in NLP, with the aim of maintaining and nourishing a
community of NLP researchers interested in this topic. The main focus of the
workshop will be on computational modelling of figurative language using
state-of-the-art NLP techniques. However, papers on cognitive, linguistic,
social, rhetorical, and applied aspects are also of interest, provided that
they are presented within a computational, a formal, or a quantitative
framework. In addition, we will also conduct a shared task on metaphor
detection.

The workshop will solicit both full papers and short papers for either oral or
poster presentation. 

Topics will include, but will not be limited to, the following:

Identification and interpretation of different types of figurative language

- Linguistic, conceptual and extended metaphor
- Irony, sarcasm, puns
- Simile, metonymy, personification, synecdoche, 

Systems for processing figurative language that incorporate state-of-the-art
NLP methods 

- Machine learning for figurative language processing
- The use of lexical resources in figurative language processing
- Paraphrasing of figurative language
- Generation of figurative language
- Multilingual processing and translation of figurative language

Resources and evaluation

- Annotation of figurative language in corpora
- Figurative language in lexical resources
- Datasets for evaluation of tools for automated processing of figurative
language
- Evaluation methodologies and frameworks

Processing of figurative language for NLP applications

- Figurative language in sentiment analysis
- Figurative language in computational social science
- Figurative language in educational applications
- Figurative language and mental health
- Figurative language in dialog systems 
- Figurative language in digital humanities 

Figurative language and cognition 

- Computational approaches to metaphor and other figures inspired by cognitive
evidence 
- Cognitive models of processing of figurative language by the human brain
- Models of metaphor and other figures across languages and cultures

Figurative language in social context 

- Figurative language in political communication
- Figurative language in education
- Figurative language in social media

Interaction of figurative language with other linguistic phenomena 

- Figurative language and compositionality
- Figurative language and abstractness / concreteness
- Figurative language and sentiment
- Figurative language and argumentation
- Figurative language and grammar

Important Dates:

March 12, 2018      Paper submissions due (23:59 West Coast USA time)
April 2, 2018           Notification of acceptance
April 16, 2018         Camera-ready papers due
June 5 or 6, 2018   Workshop in New Orleans, Louisiana

Submission Information:

Authors are invited to submit a full paper of up to 8 pages, with up to 2
additional pages for references. We also invite short papers of up to 4 pages,
with up to 2 additional pages for references. 

All submissions should follow the two-column format of NAACL 2018 proceedings.
Please use ACL LaTeX style files or Microsoft Word style files tailored for
this year's conference; these style files are available at
http://naacl2018.org/call_for_paper.html. Submissions must conform to the
official style guidelines, which are contained in the style files, and they
must be electronic in PDF format. Please see naaclhlt2018.pdf for detailed
formatting instructions.

Previously published papers cannot be accepted. The submissions will be
reviewed by the program committee. As reviewing will be blind, please ensure
that papers are anonymous. Self-references that reveal the author's identity,
e.g., ''We previously showed (Smith, 1991) ...'', should be avoided. Instead,
use citations such as ''Smith previously showed (Smith, 1991) ...''. Papers
that do not conform to these requirements will be rejected without review. In
addition, please do not post your submissions on the web until after the
review process is complete. 

Papers that have been or will be submitted to other meetings or publications
must indicate this at submission time. Authors of papers accepted for
presentation at the workshop must notify the program chairs as to whether the
paper will be presented by 16 April at the latest. All accepted papers must be
presented at the workshop to appear in the proceedings.

Please submit papers electronically at:
https://www.softconf.com/naacl2018/Fig-Lang18/




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