Appel: REMLS11, Workshop on Relational Models of Semantics at ACL 2011

[Thierry Hamon]

Date: Thu, 23 Dec 2010 15:32:28 -0800
From: Stan Szpakowicz <szpak at site.uottawa.ca>
Message-ID: <4D13DC0C.7020400 at site.uottawa.ca>
X-url: http://sites.google.com/site/relms2011/


Workshop on Relational Models of Semantics
Collocated with ACL 2011 (www.acl2011.org/)
Portland, Oregon, June 2011

http://sites.google.com/site/relms2011/

Call for papers
(with apologies for multiple postings)

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Description
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This workshop will bring together NLP researchers whose work deals
with relational aspects of language understanding. The ability to
reason about semantic relations is a fundamental linguistic
competence: it is through recognising explicit and implicit relations
between entities and events that humans (and machines) can form a
coherent representation of a text's meaning. Numerous recent workshops
have focused on lexical semantics; RELMS-11 will highlight relational
semantics.

The modeling of semantic relations has been considered from many
angles, across a variety of tasks and sub-disciplines. In ontology
learning and information extraction, the focus is on learning
"encyclopaedic" relations between entities in the domain of
discourse. In structured prediction tasks such as semantic role
labeling or biomedical event extraction, systems must reason about the
relational content of a text, about which entities and events enter
into which mutual relations. The interpretation of compound nouns
requires reasoning about probable and plausible relations between two
entities, with limited knowledge of context. Some sources of textual
information are inherently relational -- for example, content in
on-line social networks -- so computational models can benefit from
reasoning explicitly about relational structures. There is also much
to gain from understanding the connections between NLP tasks in which
semantic relations play a key role. Methods which work for one task
tend to generalize to others, and semantic relations tend to interact
in interesting ways.

Researchers primarily working on specific modeling contexts stand to
gain from understanding the connections between the various NLP tasks
in which semantic relations play a key role. As well as considering
whether methods used for one task may generalize to others, a key
question is how different kinds of semantic relations interact. For
example, encyclopedic world knowledge may be of use for "guiding"
structured prediction; this might be particularly useful in
impoverished contexts such as compound noun interpretation and
"implicit" semantic role labeling. Conversely, encyclopedic relation
learning can be viewed as generalising over instance-level relational
analyses. Exploring these connections will be an important theme of
the workshop.

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Topics
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Topics of interest include but are not restricted to the following:

* classification of semantic relations in text, for example in the
  framework of SemEval-2 Tasks 8 and 9 or TempEval;
* semantic structured prediction: semantic role labeling, event
  extraction;
* semantic applications of statistical relational learning (Markov
  Logic, Inductive Logic Programming, and so on);
* joint modelling of heterogeneous semantic relations, connections
  between traditionally distinct relational modelling tasks;
* relational information extraction and ontology learning;
* compound noun interpretation and retrieval of implicit semantic
  relations;
* annotation and evaluation issues relating to semantic relations;
* domain-specific aspects of relation learning.

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Important Dates
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December 23: First call for papers
January 15: Second call for papers
March 25: Paper submissions due
April 25: Notification of acceptance
May 6: Camera-ready papers due
June 23: RELMS-11 workshop

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Program Committee
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Eneko Agirre, University of the Basque Country, Spain
Timothy Baldwin, University of Melbourne, Australia
Ken Barker, University of Texas at Austin, USA
Paul Buitelaar, National University of Ireland, Galway, Ireland
Nathanael Chambers, Stanford University, USA
Yee Seng Chan, University of Illinois at Urbana-Champaign, USA
Mark Craven, University of Wisconsin-Madison, USA
Matthew Gerber, Michigan State University, USA
Roxana Girju, University of Illinois at Urbana-Champaign, USA
Sanda Harabagiu, University of Texas at Dallas, USA
Iris Hendrickx, University of Lisboa, Portugal
Raphael Hoffmann, University of Washington, USA
Sophia Katrenko, University of Amsterdam, The Netherlands
Roman Klinger, Fraunhofer Institute for Algorithms and Scientific 
Computing, Germany
Milen Kouylekov, Celi SRL Torino, Italy
Kenneth Litkowski, CL Research, USA
Dan Moldovan, University of Texas at Dallas, USA
Vivi Nastase, HITS gGmbH, Germany
Roberto Navigli, University of Rome "La Sapienza", Italy
Patrick Pantel, Microsoft Research, USA
Marco Pennacchiotti, Yahoo! Inc., USA
Simone Paolo Ponzetto, University of Heidelberg, Germany
Sampo Pyysalo, University of Tokyo, Japan
Sebastian Riedel, University of Massachusetts-Amherst, USA
Alan Ritter, University of Washington, USA
Lorenza Romano, FBK-irst, Italy
Dan Roth, University of Illinois at Urbana Champaign, USA
Barbara Rosario, Intel Lab, USA
Caroline Sporleder, Saarland University, Germany
Carlo Strapparava, Fundacione Bruno Kessler, Italy
György Szarvas, Technical University of Darmstadt, Germany
Peter Turney, National Research Council of Canada, Canada
Benjamin van Durme, Johns Hopkins University, USA
Tony Veale, University College Dublin, Ireland
Andreas Vlachos, University of Wisconsin-Madison, USA
Rui Wang, Saarland University, Germany
Limin Yao, University of Massachusetts Amherst, USA
Deniz Yuret, Koç University, Turkey

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Workshop Organizers
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Su Nam Kim, University of Melbourne, Australia
Zornitsa Kozareva, University of Southern California,USA
Preslav Nakov, National University of Singapore, Singapore
Diarmuid Ó Séaghdha, University of Cambridge, UK
Sebastian Padó, Universität Heidelberg, Germany
Stan Szpakowicz, University of Ottawa, Canada

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Contact
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relms.workshop.2011 at gmail.com

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