[Corpora-List] CFP: TextGraphs-5: Graph-based Methods for Natural Language Processing

Swapna Sundaran swapna at cs.pitt.edu
Fri Feb 19 16:22:35 UTC 2010


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TextGraphs-5: Graph-based Methods for Natural Language Processing
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Workshop at ACL 2010
Association for Computational Linguistics Conference Uppsala, Sweden -
July 16th, 2010 http://www.textgraphs.org/ws10/

Deadline for paper submission: Monday, April 5th, 2010

Workshop website: http://www.textgraphs.org/ws10/index.html


TextGraphs is at its fifth edition! This shows that two seemingly
distinct disciplines, graph theoretic models to computational
linguistics, are in fact intimately connected, with a large variety of
Natural Language Processing (NLP) applications adopting efficient and
elegant solutions from graph-theoretical framework.

The TextGraphs workshop series addresses a broad spectrum of research
areas and brings together specialists working on graph-based models
and algorithms for natural language processing and computational
linguistics, as well as on the theoretical foundations of related
graph-based methods. This workshop series is aimed at fostering an
exchange of ideas by facilitating a discussion about both the
techniques and the theoretical justification of the empirical results
among the NLP community members. Spawning a deeper understanding of
the basic theoretical principles involved, such interaction is vital
to the further progress of graph-based NLP applications.


Special Theme: Graph Methods for Opinion Analysis
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For the fifth edition of TextGraphs, we propose the special theme:
ìGraph Methods for Opinion Analysisî. This choice is motivated by two
important factors: (1) advanced opinion analysis that aims to go
beyond polarity recognition necessitates the integration of syntactic,
semantic and logic structures and (2) previous work in NLP has shown
that graph methods are very well suited to represent and exploit such
structures in learning systems.

The aim is to bring together researchers from graph theory and opinion
analysis in order to enable cross-fertilization of ideas. The proposed
theme will encourage publication of early results and initiate
discussions of issues in this area. We hope that this will help to
shape future directions for ambitious opinion analysis research and
provide a new, challenging problem motivation for research in graph
algorithms.

Finally, as the field of opinion mining advances towards deeper
analysis and more complex systems, graphical approaches may become
even more pertinent. For instance, graphs may be employed to capture
opinion dynamics over time, or to model interactions between opinion
expressions across multiple modalities and, to realize this, new
graph-based algorithms and inference methods may need to be developed.


Suggested topics
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We invite submissions on the following (but not limited to) general
topics (including those from the special theme):
* Graph methods for sentiment lexicon induction
* Analysis of blog and web linking structures
* Graph methods for sentiment/opinion propagation
* Graph representation of data for opinion analysis
* Synonym/antonym graphs and their usage to extrapolate semantic orientation
* Social graphs and opinion analysis
* Graph-based representations, acquisition and evaluation of lexicon
and ontology
* Dynamic graph representations for NLP
* Properties of lexical, semantic, syntactic and phonological graphs
* Clustering-based algorithms
* Application of spectral graph theory in NLP
* Unsupervised and semi-supervised learning models based-on graphs
* Dynamic graph representations for NLP
* Comparative analysis of graph-based methods and traditional machine
learning Techniques for NLP applications
* Kernel Methods for Graphs, e.g. random walk, tree and sequence kernels
* Graph methods for NLP tasks, e.g. morpho-syntactic annotation, word
sense disambiguation, syntactic/semantic parsing
* Graph methods for NLP applications, e.g. retrieval, extraction and
summarization of information
* Semantic inference using graphs, e.g. question answering and text
entailment recognition


Important Dates
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* Deadline for paper submission: Monday, April 5th, 2010
* Notification of acceptance: Thursday, May 6th, 2010
* Submission of camera-ready articles: Friday, June 4th, 2010
* Workshop at ACL 2010: Friday, July 16th, 2010





Organizing Committee
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* Carmen Banea, University of North Texas,
* Alessandro Moschitti, University of Trento,
* Swapna Somasundaran, University of Pittsburgh,
* Fabio Massimo Zanzotto, University of Rome ìTor Vergataî


Program Committee
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* Giuseppe Carenini, University of British Columbia
* Monojit Choudhury, Microsoft Research, India
* William Cohen, Carnegie Mellon University
* Andras Csomai, Google Inc.
* Michael Gamon, Microsoft Research, Redmond
* Thomas Gartner, Fraunhofer Institute for Intelligent Analysis and
Information Systems
* Lise Getoor, University of Maryland
* Andrew Goldberg, University of Wisconsin, Madison
* Eduard Hovy, Information Sciences Institute
* Richard Johansson, Trento University
* Lillian Lee, Cornell University
* Smaranda Muresan, Rutgers University
* Fabrizio Sebastiani, Istituto di Scienza e Tecnologia dellíInformazione
* Veselin Stoyanov, Cornell University
* Carlo Strapparava, Istituto per la Ricerca Scientifica e Tecnologica
* Hiroya Takamura, Tokyo Institute of Technology
* Dragomir R. Radev, University of Michigan
* Lluis Marquez Villodre, Universidad Politecnica de Catalunya
* Theresa Wilson, University of Edinburgh
* Xiaojin Zhu, University of Wisconsin, Madison
* Michael Strube, EML research
* Ulf Brefeld, Yahoo!

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