Appel: ACL 2010 Workshop, TextGraphs-5, Graph-based Methods for Natural Language Processing

Fri Mar 12 16:33:20 UTC 2010

Date: Sun, 7 Mar 2010 21:10:37 -0600
From: "Carmen Banea" <carmen.banea at gmail.com>
Message-ID: <026101cabe6c$eee74600$ccb5d200$@gmail.com>
X-url: http://www.textgraphs.org/ws10/
X-url: http://www.acl2010.org/authors.html

To whom it may concern:

We would greatly appreciate it if you could please circulate the
following CFP for the TextGraphs-5 workshop to be held as part of ACL
2010 in Sweden to your respective mailing lists.

Kind regards,

Carmen, Alessandro, Swapna and Fabio

TextGraphs-5 Organizers

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Second Call for Papers

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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

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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:
“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

Submission Information
---------------------------

* Formatting instructions

Submissions will consist of regular full papers of max. 8 pages (one
additional page for the Reference section only is allowed - for a
maximum of 9 pages) and short papers of max. 4 pages. We are also
interested in position papers describing new scenarios for the use of
graphs for text processing, especially in the field of Opinion
Mining. All submissions must be electronic in PDF and must be
formatted using the ACL 2010 style files, which, together with
additional author guidelines, are available at the following address:
http://www.acl2010.org/authors.html

* Multiple-submission policy

Papers that have been or will be submitted to other meetings or
publications must indicate this at submission time. Authors submitting
multiple papers to TextGraphs-5 may not submit papers that overlap
significantly (> 50%) with each other in content or results. Authors
of papers accepted for presentation at Textgraphs-5 must notify the
organizers immediately as to whether the paper will be presented. All
accepted papers must be presented at the conference in order to appear
in the proceedings.

* Blind review policy

In order to facilitate blind reviewing, the authors should omit their
names and affiliations from the paper. Furthermore, self-references
that reveal the author’s identity, e.g., ”We previously showed (Smith,
1991) ...” must be avoided. Instead, use citations such as ”Smith
previously showed (Smith, 1991) ...” Papers that do not conform to
these requirements will be rejected without review.

* Submission

Papers should be submitted to the START Conference Manager at
https://www.softconf.com/acl2010/TextGraphs/.

The submission deadline is Monday, April 5th, 2010 23:59 EDT. Late
submissions will not be accepted.

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

* Andras Csomai, Google Inc.
* Andrea Esuli, Italian National Research Council
* Andrea Passerini,         Trento University, Italy
* Andrew Goldberg, University of Wisconsin, Madison
* Carlo Strapparava, Istituto per la Ricerca Scientifica e Tecnologica
* Dragomir R. Radev, University of Michigan
* Eduard Hovy, Information Sciences Institute
* Fabrizio Sebastiani, Istituto di Scienza e Tecnologia
  dell'Informazione
* Giuseppe Carenini, University of British Columbia
* Hiroya Takamura, Tokyo Institute of Technology
* Lillian Lee, Cornell University
* Lise Getoor, University of Maryland
* Lluis Marquez Villodre, Universidad Politecnica de Catalunya
* Marc Spaniol, Max Planck Institut, Saarbrücken, Germany
* Michael Gamon, Microsoft Research, Redmond
* Michael Strube, EML research
* Monojit Choudhury, Microsoft Research, India
* Richard Johansson, Trento University
* Robero Basili, University of Rome, Italy
* Roi Blanco, Yahoo!, Barcelona
* Smaranda Muresan,   Rutgers University
* Sofus Macskassy, Fetch Technologies El Segundo, CA
* Stefan Siersdorfer, L3S Research Center, Hannover, Germany
* Theresa Wilson, University of Edinburgh
* Thomas Gartner, Fraunhofer Institute for Intelligent Analysis and
  Information Systems
* Ulf Brefeld, Yahoo!
* Veselin Stoyanov,        Cornell University
* William Cohen, Carnegie Mellon University
* Xiaojin Zhu, University of Wisconsin, Madison
* Yejin Choi, Cornell University, Ithaca, NY

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