[Corpora-List] [CfP] REMLS11, Workshop on Relational Models of Semantics at ACL 2011

[Stan Szpakowicz]

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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