[Elsnet-list] Metaphor in NLP: Call for participation

Ekaterina Shutova katia at berkeley.edu
Mon May 20 03:43:37 CEST 2013


The 1st Workshop on Metaphor in NLP

(co-located with NAACL-HLT 2013)

Atlanta, Georgia, USA – June 13, 2013



Characteristic to all areas of human activity (from poetic to ordinary
to scientific) and, thus, to all types of discourse, metaphor becomes
an important problem for natural language processing. 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 metaphor an important research area for
computational and cognitive linguistics, and its automatic
identification and interpretation indispensable for any
semantics-oriented NLP application.

The main focus of the workshop is on computational modeling of
metaphor using state-of-the-art NLP techniques. The selected papers
offer explorations into the following directions: (1) creation of
metaphor-annotated datasets; (2) identification of new features that
are useful for metaphor identification; (3) cross-lingual metaphor

The papers represent a variety of approaches to utilization and
creation of datasets. While existing annotated corpora were used in
some papers (Dunn, Tsvetkov et al), most papers describe creation of
new annotated materials. Along with annotation guidelines adapted from
the MIP and MIPVU procedures (Badryzlova et al), more intuitive
annotation protocols are explored in Beigman Klebanov and Flor, Hovy
et al, Heintz et al, Mohler et al, and Strzalkowski et al.

The papers present a number of novel and extended features for
metaphor detection. Topic models, abstractness/concreteness, and
semantic classifications based on an ontology are each used in
multiple papers. Additional features include classes of named entities
(Tsvetkov et al), WordNet examples and glosses (Wilks et al);
suggestive evidence is presented regarding potential usefulness of a
relationality feature (Jamrozik et al). A distinguishing
characteristic of multiple submissions is the interest in
cross-lingual approaches to metaphor identification. Accordingly,
contributors explore features that can be supported by resources that
exist in languages like Russian, Spanish, and Farsi (Strzalkowski et
al., Tsvetkov et al, Heintz et al).

The program of the workshop also features two invited talks that
complement the discussion by addressing topics that are not addressed
by this year’s submissions, namely, the relationship between metaphor
and action (Srini Narayanan), and interpretation of metaphors (John


09:00-09:10 Opening remarks

09:10-10:05 Invited talk

"From Metaphor to Action"

Srini Narayanan


"What metaphor identification systems can tell us about metaphor-in-language"

Jonathan Dunn

10:30-11:00 Coffee break


"Argumentation-Relevant Metaphors in Test-Taker Essays"

Beata Beigman Klebanov and Michael Flor


"Relational words have high metaphoric potential"

Anja Jamrozik, Eyal Sagi, Micah Goldwater and Dedre Gentner


"Semantic Signatures for Example-Based Linguistic Metaphor Detection"

Michael Mohler, David Bracewell, Marc Tomlinson and David Hinote

12:10-13:40 Lunch

13:40-14:20 Invited talk

“Computational Approaches to Metaphor Interpretation: Some
Considerations arising from a Deep Reasoning System”

John Barnden


"Automatic Metaphor Detection using Large-Scale Lexical Resources and
Conventional Metaphor Extraction"

Yorick Wilks, Adam Dalton, James Allen and Lucian Galescu


"Cross-Lingual Metaphor Detection Using Common Semantic Features"

Yulia Tsvetkov, Elena Mukomel and Anatole Gershman


"Identifying Metaphorical Word Use with Tree Kernels"

Dirk Hovy, Shashank Shrivastava, Sujay Kumar Jauhar, Mrinmaya Sachan,
Kartik Goyal, Huying Li, Whitney Sanders and Eduard Hovy

15:30-16:00 Coffee break


"Automatic Extraction of Linguistic Metaphors with LDA Topic Modeling"

Ilana Heintz, Ryan Gabbard, Mahesh Srivastava, Dave Barner, Donald
Black, Majorie Friedman and Ralph Weischedel


"Robust Extraction of Metaphor from Novel Data"

Tomek Strzalkowski, George Aaron Broadwell, Sarah Taylor, Laurie
Feldman, Samira Shaikh, Ting Liu, Boris Yamrom, Kit Cho, Umit Boz,
Ignacio Cases and Kyle Elliot


"Annotating a Russian corpus of conceptual metaphor: a bottom-up approach"

Yulia Badryzlova, Natalia Shekhtman, Yekaterina Isaeva and Ruslan Kerimov

17:15-17:30 Closing remarks


Ekaterina Shutova, University of California at Berkeley, USA

Beata Beigman Klebanov, Educational Testing Service, USA

Joel Tetreault, Nuance, USA

Zornitsa Kozareva, USC Information Sciences Institute, USA


Shlomo Argamon, Illinois Institute of Technology, USA

John Barnden, University of Birmingham, UK

Gemma Boleda, University of Texas at Austin, USA

Danushka Bollegala, University of Tokyo, Japan

Marisa Boston, Nuance, USA

David Bracewell, LCC, USA

Ted Briscoe, University of Cambridge, UK

Jaime Carbonell, CMU, USA

Stephen Clark, University of Cambridge, UK

Paul Cook, University of Melbourne, Australia

Gerard de Melo, University of California at Berkeley, USA

Alice Deignan, Leeds University, UK

Afsaneh Fazly, University of Toronto, Canada

Anna Feldman, Montclair State University, USA

Jerry Feldman, University of California at Berkeley, USA

Michael Flor, Educational Testing Service, USA

Marjorie Freedman, BBN, USA

Deidre Gentner, Northwestern University, USA

Yanfen Hao, Electronics Industry Research Institute, ShanXi, China

Jerry Hobbs, University of Southern California, USA

Eugenie Giesbrecht, Karlsruhe Institute of Technology, Germany

Valia Kordoni, Humboldt University Berlin, Germany

Anna Korhonen, University of Cambridge, UK

George Lakoff, University of California at Berkeley, USA

Alex Lascarides, University of Edinburgh, UK

Mark Lee, University of Birmingham, UK

Katja Markert, University of Leeds, UK

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

Andreas Musolff, University of East Anglia, UK

Srini Narayanan, University of California at Berkeley, USA

Malvina Nissim, University of Bologna, Italy

Thierry Poibeau, Ecole Normale Superieure and CNRS, France

Diarmuid O'Seaghdha, University of Cambridge, UK

Caroline Sporleder, Saarland University, Germany

Carlo Strapparava, Fondazione Bruno Kessler, Italy

Tomek Strzalkowski, SUNY Albany, USA

Marc Tomlinson, LCC, USA

Oren Tsur, Hebrew University, Israel

Peter Turney, National Research Council Canada, Canada

Tim van de Cruys, IRIT and CNRS, Toulouse, France

Tony Veale, Korean Advanced Institute for Science and Technology,
Republic of Korea

Aline Villavicencio, Federal University of Rio Grande do Sul, Brazil
and MIT, USA

Andreas Vlachos, University of Cambridge, UK

Yorick Wilks, Florida Institute of Human and Machine Cognition, USA

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