LINGUIST List 19.3708: Computational Linguistics/Singapore

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LINGUIST List 19.3708
Thu Dec 04 2008 Confs: Computational Linguistics/Singapore Editor for this issue: Stephanie Morse <morselinguistlist.org>
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Directory 1. Animesh Mukherjee, TextGraphs-4: Graph based Methods for NLP Message 1: TextGraphs-4: Graph based Methods for NLP
Date: 03-Dec-2008 From: Animesh Mukherjee <animeshmgmail.com> Subject: TextGraphs-4: Graph based Methods for NLP E-mail this message to a friend TextGraphs-4: Graph based Methods for NLP Short Title: TextGraphs-4 Date: 06-Aug-2009 - 07-Aug-2009 Location: Suntec, Singapore Contact: Animesh Mukherjee Contact Email: animeshmgmail.com Meeting URL: http://www.textgraphs.org/ws09/index.html Linguistic Field(s): Computational Linguistics Meeting Description: The TextGraphs workshop 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 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. This time the workshop has a special theme of 'Cognitive and Social Dynamics of Languages in the framework of Complex Networks'. Cognitive dynamics of languages include topics focused primarily on language acquisition, which can be extended to language change (historical linguistics) and language evolution as well. Since the latter phenomena are also governed by social factors, we can further classify them under social dynamics of languages. In addition, social dynamics of languages also include topics such as mining the social networks of blogs and emails. TextGraphs-4: Graph-based Methods for Natural Language Processing To be held in conjunction with ACL/IJCNLP 2009, August 2-7, Suntec, Singapore Recent years have shown an increased amount of interest in applying graph theoretic models to computational linguistics. Both graph theory and computational linguistics are well studied disciplines which have traditionally been perceived as distinct, embracing different algorithms, different applications, and different potential end-users. However, as recent research work has shown, the two seemingly distinct disciplines are in fact intimately connected, with a large variety of natural language processing applications adopting efficient and elegant solutions from graph-theoretical framework. Traditional graph theory, which is studied as a sub-discipline of mathematics, has been successfully applied in modeling and solving several applications in Natural Language Processing. More recently, complex network theory, a popular modeling paradigm in statistical mechanics and physics of complex systems, was proven to be a promising tool in understanding the structure and dynamics of languages. Complex network based models have been applied to areas as diverse as language evolution, acquisition, historical linguistics, mining and analyzing the social networks of blogs and emails, link analysis and information retrieval, information extraction, and representation of the mental lexicon. Similarly, in many NLP applications entities can be naturally represented as nodes in a graph and relations between them can be represented as edges. Recent research has shown that graph-based representations of linguistic units as diverse as words, sentences and documents give rise to novel and efficient solutions in a variety of NLP tasks, ranging from part-of-speech tagging, word sense disambiguation and parsing to information extraction, semantic role labeling, summarization, and sentiment analysis. The TextGraphs workshop 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 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. TextGraphs-4 builds on the success of the previous three TextGraphs workshops: TextGraphs-1 held at HLT-NAACL 2006 (http://lit.csci.unt.edu/~textgraphs/ws06/) TextGraphs-2 held at HLT-NAACL 2007 (http://lit.csci.unt.edu/~textgraphs/ws07/) TextGraphs-3 held at Coling 2008 (http://lit.csci.unt.edu/~textgraphs/ws08/) TextGraphs-3 started the trend of having a special theme for the workshop every year. Consequently, last year the theme was ''lexical representation and acquisition''. Following the same trend, this year TextGraphs-4 will have a special theme on ''Cognitive and Social Dynamics of Languages in the framework of Complex Networks''. Cognitive dynamics of languages include topics focused primarily on language acquisition, which can be extended to language change (historical linguistics) and language evolution as well. Since the latter phenomena are also governed by social factors, we can further classify them under social dynamics of languages. In addition, social dynamics of languages also include topics such as mining the social networks of blogs and emails. The modeling paradigm being complex networks, some of the topics covered by this special theme are: Lexical acquisition and growth of the mental lexicon Phonological, syntactic and semantic acquisition Lexical change Applications of networks in modeling language variation and dialectometry Effect of social structure on language change and evolution Analysis of blog and email networks for IR and IE Apart from the special theme, TextGraphs-4 also invites submissions on the following (but not limited to) general topics: -Graph-based representations, acquisition and evaluation of lexicon and ontology -Node and edge labeling for linguistic graphs -Properties of lexical, semantic, syntactic and phonological graphs -Graph methods for morpho-syntactic annotation, word sense disambiguation, information retrieval, information extraction, summarization, text mining and understanding -Random walk models in NLP -Graph clustering algorithms -Application of spectral graph theory in NLP -Unsupervised and semi-supervised graph-based methods -Dynamic graph representations for NLP -Comparative analysis of graph-based methods and traditional machine leaning techniques for NLP applications. Important Dates: Paper submissions: May 1, 2009 Notification of acceptances: Jun 1, 2009 Camera-ready copies due: Jun 7, 2009 Workshop: Aug 6/7, 2009 Organizers: Monojit Choudhury, Microsoft Research India Samer Hassan, University of North Texas Animesh Mukherjee, Indian Institute of Technology, Kharagpur Smaranda Muresan, Rutgers University Program Committee: Eneko Agirre, Basque Country University Edo Airoldi, Princeton University Pushpak Bhattacharyya, Indian Institute of Technology, Bombay Chris Biemann, Powerset Andras Csomai, Google Inc. Hong Cui, Yahoo Inc Hal Daume III, University of Utah Mona Diab, Columbia University Michael Gammon, Microsoft Research Redmond Niloy Ganguly, Indian Institute of Technology, Kharagpur Lise Getoor, University of Maryland Simon Kirby, University of Edinburgh Ben Leong, University of Delaware Vittorio Loreto, University of Rome ''La Sapienza'' Irina Matveeva, Accenture Technology Labs Rada Mihalcea, University of North Texas Dunja Mladenic, J. Stefan Institute, Slovenia Roberto Navigli, University of Rome ''La Sapienza'' John Nerbonne, University of Groningen Dragomir Radev, University of Michigan Raghavendra Udupa, Microsoft Research India Søren Wichmann, MPI for Evolutionary Anthropology Endorsement: The TextGraphs-4 workshop has been endorsed by SIGLEX. Read more issues\|LINGUIST home page\|Top of issue

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