[SIGLEX-MWE] Second CFP: NAACL 2016 Workshop on Metaphor in NLP

[Ekaterina S. <es...@ca...>]

SECOND CALL FOR PAPERS




The Fourth Workshop on Metaphor in NLP


(co-located with NAACL 2016)


San Diego, California, USA – June 16 or 17, 2016


https://sites.google.com/site/metaphorinnlp2016/home



Submission deadline: March 3, 2016



WORKSHOP DESCRIPTION


Metaphor processing is a rapidly growing area in NLP. The ubiquity of
metaphor 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 metaphor 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 metaphor in NLP and AI started in the 1980s, providing us
with a wealth of ideas on its structure and mechanisms. The last
decade witnessed a technological leap in natural language computation,
whereby manually crafted rules gradually give way to more robust
corpus-based statistical methods. This is also the case for metaphor
research. In the recent years, the problem of metaphor modeling has
been steadily gaining interest within the NLP community, with a
growing number of approaches exploiting statistical techniques.
Compared to more traditional approaches based on hand-coded knowledge,
these more recent methods tend to have a wider coverage, as well as be
more efficient, accurate and robust. However, even the statistical
metaphor processing approaches so far often focused on a limited
domain or a subset of phenomena. At the same time, recent work on
computational lexical semantics and lexical acquisition techniques, as
well as a wide range of NLP methods applying machine learning to
open-domain semantic tasks, open many new avenues for creation of
large-scale robust tools for recognition and interpretation of
metaphor.

The main focus of the workshop will be on computational modeling of
metaphor using state-of-the-art NLP techniques. However, papers on
cognitive, linguistic, and applied aspects of metaphor are also of
interest, provided that they are presented within a computational, a
formal or a quantitative framework. We also encourage descriptions of
proposals and data sets for shared tasks on metaphor processing.


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 levels and types of metaphor:

Conceptual and linguistic metaphor

Lexical metaphor

Multiword metaphorical expressions

Extended metaphor / metaphor in discourse

Conventional / novel / deliberate metaphor



Metaphor processing systems that incorporate state-of-the-art NLP methods:

Statistical metaphor processing

The use of lexical resources for metaphor processing

The use of corpora for metaphor processing

Distributional methods for metaphor processing

Supervised and unsupervised learning for metaphor processing

Identification of conceptual and linguistic metaphor

Identification and interpretation of lexical metaphor / multiword
metaphor / extended metaphor

Lexical metaphor interpretation vs. word sense disambiguation

Metaphor paraphrasing

Generation of metaphorical expressions

Metaphor translation and multilingual metaphor processing



Metaphor resources and evaluation:

Metaphor annotation in corpora

Metaphor in lexical resources

Reliability of metaphor annotation

Datasets for evaluation of metaphor processing tools

Metaphor evaluation methodologies and frameworks

Descriptions of proposals for shared tasks on metaphor processing



Metaphor processing for external NLP applications:

Metaphor in machine translation

Metaphor in opinion mining

Metaphor in information retrieval

Metaphor in educational applications

Metaphor in dialog systems

Metaphor in open-domain and domain-specific applications



Metaphor and cognition:

Computational approaches to metaphor inspired by cognitive evidence

Cognitive models of metaphor processing by the human brain

Models of metaphor across languages and cultures



Metaphor interaction with other phenomena (within a computational,
formal or quantitative framework):

Metaphor and compositionality

Metaphor and abstractness / concreteness

Metaphor and sentiment

Metaphor and persuasion

Metaphor and argumentation

Metaphor and other kinds of figurative language

Metaphor and grammar



Metaphor and sentiment:

The use of metaphorical language to express stronger sentiment / evaluation

Sentiment processing systems that make use of metaphor as a feature

Sentiment processing systems that detect affect associated with
metaphorical expressions



Metaphor in social media:

Processing of metaphorical language in blogging, twitter and other social
media

How metaphorical language helps shape communication in social media

The influence of metaphor on social dynamics




IMPORTANT DATES


March 3, 2016 Paper submissions due (23:59 West Coast USA time)

March 23, 2016 Notification of acceptance

March 30, 2016 Camera-ready papers due

June 16 or 17, 2016 Workshop in San Diego, CA



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 2016
proceedings. Please use ACL LaTeX style files or Microsoft Word style
files tailored for this year's conference; these style files are
available from NAACL 2016 website. 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 naaclhlt2016.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.



WORKSHOP CO-CHAIRS


Beata Beigman Klebanov, Educational Testing Service, USA

Ekaterina Shutova, University of Cambridge, UK

Patricia Lichtenstein, University of California, Merced, USA



PROGRAM COMMITTEE


Shlomo Argamon, Illinois Institute of Technology, USA

John Barnden, University of Birmingham, UK

Danushka Bollegala, University of Liverpool, UK

Susan Brown, Univeristy of Colorado, USA

Paul Cook, University of New Brunswisk, Canada

Gerard de Melo, Tsinghua University, China

Ellen Dodge, ICSI, UC Berkeley, USA

Jonathan Dunn, Illinois Institute of Technology, USA

Anna Feldman, Montclair State University, USA

Jerry Feldman, University of California at Berkeley, USA

Michael Flor, Educational Testing Service, USA

Andrew Gargett, University of Birmingham, UK

Mark Granroth-Wilding, University of Cambridge, UK

Yanfen Hao, TrustScience, Edmonton, Alberta, Canada

Eduard Hovy, Carnegie Mellon University, USA

Anna Jamrozik, University of Pennsylvania, USA

Hyeju Jang, Carnegie Mellon University, USA

Valia Kordoni, Humboldt University Berlin, Germany

James H. Martin,University of Colorado at Boulder, USA

Saif Mohammad, National Research Council Canada, Canada

Behrang Mohit, Carnegie Mellon University, Qatar

Michael Mohler, Language Computer Corporation, USA

Preslav Nakov, Qatar Computing Research Institute, Qatar

Malvina Nissim, University of Groningen, The Netherlands

Diarmuid O'Seaghdha, University of Cambridge, UK

Thierry Poibeau, Ecole Normale Superieure and CNRS, France

Paul Rayson, Lancaster University, UK

Brian Rink, Language Computer Corporation, USA

Eyal Sagi, University of St. Francis, USA

Sabine Schulte im Walde, University of Stuttgart, Germany

Samira Shaikh, SUNY Albany, USA

Caroline Sporleder, Goettingen University, Germany

Mark Steedman, University of Edinburgh, UK

Gerard Steen, University of Amsterdam, The Netherlands

Tomek Strzalkowski, SUNY Albany, USA

Marc Tomlinson, Language Computer Corporation, USA

Yulia Tsvetkov, Carnegie Mellon University, USA

Tony Veale, University College Dublin, Ireland

Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil

Andreas Vlachos, University of Sheffield, UK