CALL FOR PARTICIPATION:
ACL 2010 Workshop - TextGraphs-5: Graph-based Methods for Natural Language Processing
Workshop Location: Uppsala, Sweden
Workshop Date: July 16th, 2010
Workshop Website: http://www.textgraphs.org/ws10/
June 15, 2010 Deadline Early registration on-line
July 2, 2010 Deadline Late registration on-line
July 11, 2010 On-site registration opens
July 16, 2010 TextGraphs-5 Workshop
Workshop program: http://www.textgraphs.org/ws10/schedule.html
Invited talk: “Spectral Approaches to Learning in the Graph Domain” by Edwin Hancock, University of York, UK
TextGraphs is at its fifth edition! This shows that two seemingly distinct disciplines, graph theoretic models and 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 by bringing together specialists working on theoretical foundations of graph-based methods with researchers studying graph-based models and algorithms for natural language processing and computational linguistics. This workshop series is aimed at fostering an exchange of ideas by facilitating a discussion about both techniques and theoretical justification of empirical results among the NLP community members. This interaction is vital to the further progress of graph-based NLP applications and possibly will result in a deeper understanding of the involved theoretical principles.
Textgraphs-5 is pleased to have an invited talk by Edwin R. Hancock, Professor of Computer Vision at the Department of Computer Science at the University of York. In his talk, "Spectral approaches to learning in the graph domain", Prof. Hancock will motivate and discuss graph-spectral algorithms that can be applied to solve the many different problems inherent to graphs, drawing examples from computer vision research.
We have a session dedicated to the special theme in TextGraphs-5, "Graph Methods for Opinion Analysis". The aim is to bring together researchers from graph theory and opinion analysis in order to enable cross-fertilization of ideas. We hope that this will help to shape future directions for ambitious opinion analysis research and provide new challenges and motivation for research in graph algorithms.
In addition to papers on our special theme, presentations will include papers on spectral approaches, graph methods for lexical similarity, algorithms for lexical clustering and disambiguation, and graphical approaches for clustering languages and dialects. More details on the accepted papers can be obtained on TextGraphs-5 website (http://www.textgraphs.org/ws10/). The program is available on http://acl2010.org/workshops.html#ws08.
Carmen Banea, University of North Texas, US
Alessandro Moschitti, University of Trento, Italy
Swapna Somasundaran, University of Pittsburgh, US
Fabio Massimo Zanzotto, University of Rome, Italy
Andras Csomai, Google Inc.
Andrea Esuli, Italian National Research Council
Andrea Passerini, Trento University, Italy
Andrew Goldberg, University of Wisconsin, Madison
Animesh Mukherjee, ISI Foundation, Turin, Italy
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
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