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TextGraphs- 2010 : Graph-based Methods for Natural Language Processing

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Link: http://www.textgraphs.org/ws10/
 
When Jul 16, 2010 - Jul 16, 2010
Where Uppsala, Sweden
Submission Deadline Apr 5, 2010
Notification Due May 6, 2010
Final Version Due Jun 4, 2010
Categories    NLP
 

Call For Papers

=================================================================
TextGraphs-5: Graph-based Methods for Natural Language Processing
=================================================================

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

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
----------------------------------------------------------------

For the fifth edition of TextGraphs, we propose the special theme: "Graph
Methods for
Opinion Analysis". 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
---------------------

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
--------------------

* 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
---------------------------

* Carmen Banea, University of North Texas,
* Alessandro Moschitti, University of Trento,
* Swapna Somasundaran, University of Pittsburgh,
* Fabio Massimo Zanzotto, University of Rome "Tor Vergata"


Program Committee
-------------------------

* 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 dell'Informazione
* 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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