17.20, Calls: Computational Ling/USA

Tue Jan 10 21:44:58 UTC 2006

LINGUIST List: Vol-17-20. Tue Jan 10 2006. ISSN: 1068 - 4875.

Subject: 17.20, Calls: Computational Ling/USA

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        Terry Langendoen, U of Arizona  

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===========================Directory==============================  

1)
Date: 28-Dec-2005
From: Dragomir Radev < radev at umich.edu >
Subject: HLT-NAACL 2006 Workshop on Graph-Based Methods for NLP 

2)
Date: 28-Dec-2005
From: Dragomir Radev < radev at umich.edu >
Subject: AAAI 2006 special track on AI and the Web 

-------------------------Message 1 ---------------------------------- 
Date: Tue, 10 Jan 2006 16:43:25
From: Dragomir Radev < radev at umich.edu >
Subject: HLT-NAACL 2006 Workshop on Graph-Based Methods for NLP 

Full Title: HLT-NAACL 2006 Workshop on Graph-based methods for NLP 

Date: 09-Jun-2006 - 09-Jun-2006
Location: New York City, NY, USA 
Contact Person: Dragomir Radev
Meeting Email: radev at umich.edu
Web Site: http://www.textgraphs.org/ws06 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 10-Mar-2006 

Meeting Description:

The first workshop on graph-based methods for Natural Language Processing 

C A L L   F O R   P A P E R S

HLT/NAACL 2006 Workshop 
Graph-based Methods for Natural Language Processing

http://www.textgraphs.org/ws06

New York City, June 9, 2006

Graph theory is a well studied discipline, and so is the field of natural language processing. Traditionally, these two areas of study have been perceived as distinct, with different algorithms, different applications, and different potential end-users. However, as recent research work has shown, the two disciplines are in fact intimately connected, with a large variety of natural language processing applications finding efficient solutions within graph-theoretical frameworks.

The goal of this workshop is to provide a forum for researchers working on problems related to the use of graph-based algorithms for natural language processing. The workshop is expected to bring together people working on areas as diverse as lexical semantics, text summarization, text mining, ontology construction, clustering and learning, connected by the common underlying theme consisting of the use of graph-theoretical methods for text processing tasks. We invite submissions of papers addressing the following or related topics: 

- Graph algorithms for text understanding 
- Graph matching for text mining
- Graph algorithms for thesaurus construction
- Graph methods for identification of semantic relations
- Graph-based ranking algorithms for language processing
- Random walk methods
- Graph algorithms for information extraction
- Spectral learning or clustering applied to NLP
- Graph algorithms for word sense disambiguation
- Lexical chaining algorithms and applications

Submission format:

Full paper submissions will consist of 8 pages, formatted following the NAACL 2006 guidelines. Short papers will be 4 pages long.  Submission instructions will be announced on the workshop website.

Important dates:

Regular paper submissions               March 10
Short paper submissions                 March 17
Notification of acceptance              April 7
Camera-ready papers                     April 26
Workshop                                June 8 or 9

Organizers:

Dragomir Radev - U. Michigan, radev at umich dot edu
Rada Mihalcea - U. North Texas, rada at cs dot unt dot edu

Program Committee: 

Lada Adamic, University of Michigan
Razvan Bunescu, University of Texas at Austin
Timothy Chklovski, USC / Information Sciences Institute
Diane Cook, University of Texas at Arlington
Inderjit Dhillon, University of Texas at Austin
Beate Dorow, University of Stuttgart, Germany
Gael Dias, Universidade da Beira Interior, Portugal
Kevin Gee, University of Texas at Arlington
Lise Getoor, University of Maryland
Gunes Erkan, University of Michigan
John Lafferty, Carnegie Mellon University
Lillian Lee, Cornell University
Andrew McCallum, University of Massachusetts
Bo Pang, Cornell University
Patrick Pantel, USC / Information Sciences Institute
Paul Tarau, University of North Texas
Simone Teufel, University of Cambridge
Lucy Vanderwende, Microsoft Research
Florian Wolf, FW Consulting
Dominic Widdows, Maya Design
Hongyuan Zha, Penn State
Xiaojin Zhu, University of Wisconsin

-------------------------Message 2 ---------------------------------- 
Date: Tue, 10 Jan 2006 16:43:31
From: Dragomir Radev < radev at umich.edu >
Subject: AAAI 2006 special track on AI and the Web 

Full Title: AAAI 2006 special track on AI and the Web 

Date: 15-Jul-2006 - 19-Jul-2006
Location: Boston, MA, USA 
Contact Person: Dragomir Radev
Meeting Email: radev at umich.edu
Web Site: http://www.csee.umbc.edu/aaai06/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 16-Feb-2006 

Meeting Description:

AAAI 2006 special track on AI and the Web. 

ARTIFICIAL INTELLIGENCE AND THE WEB
a special track of technical conference papers at
AAAI-06 : 21ST NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE

     Seaport Hotel and World Trade Center, Boston, 16-20 July 2006

             http://www.cs.umbc.edu/aaai06/

 Co-Chairs:
   Tim Finin, University of Maryland, Baltimore County
   Dragomir Radev, University of Michigan

 Dates:
   February 16, 2006 = Abstracts due
   February 21, 2006 = Full papers due
   July 16-20, 2006 = AAAI 2006 in Boston, Massachusetts

 Contact information: aiweb06 at cs.umbc.edu

 The web has quickly grown from a modest hypertext system of  interest to computer researchers to a ubiquitous information  system including virtually all of human knowledge.  Today's Web  provides ready access to not only text, images, and audio files,  but also to structured and semi-structured information, services  and people.  It offers an open, decentralized (and  uncontrollable!)  environment in which anyone can publish  information and services coupled with powerful search engines and  agents to find and rank results.  All of this is ubiquitously  available from wired, wireless and mobile devices.  Oh, and did  we mention that it's free?

 The result is an environment enormously useful to people for  research, learning, commerce, socializing, communication and  entertainment.  We have just begun to explore how this vast  amount of machine accessible knowledge can be exploited and used  by machines -- to better serve human needs as well as to discover  new knowledge.

 The special track on ''AI and the Web'' invites technical papers on  the use of AI techniques, systems and concepts involving the Web.  We are especially interested in receiving papers in two active  research areas: (i) using text and language analysis to interpret  and understand natural language text found on the web and (ii)  developing and exploiting ''Semantic Web'' languages and systems  that explicitly encode knowledge using languages such as RDF and  OWL.  Innovative papers in other areas describing research  involving both AI and the Web are definitely encouraged also.  The AAAI-06 track on AI and the Web welcomes submissions on all  topics relevant to the track, including:

 SEMANTIC WEB
     Information integration
     New/better/different KR languages for the Semantic Web (e.g.,
     uleML)
     Semantic Web grounded policy languages
     Semantic web and agents
     Semantic web in mobile and pervasive computing
     Semantic web ontologies
     Semantic web services
     Social aspects of web semantics
     Tags and folksonomies
     Proof, trust and provenance for web information
     Applications

 NLP AND THE WEB
     Cross-language IR for the web
     Enhancing IR and web search
     Information extraction on the web
     Knowledge acquisition from the Web
     NLP for automating markup
     Machine translation for and using the Web
     Opinion extraction
     Question answering on the web
     Text summarization
     Applications

 OTHER AI AND THE WEB RELATED TOPICS
     AI and web-based ecommerce
     AI for P2P and GRID environments
     Intelligent information retrieval
     Intelligent user interfaces for Web systems
     Multi-agent systems on the Web
     Ontologies for the Web (not semantic web related)
     Mining web logs, query logs, blogs
     Recognizing web spam (e.g., link farms, blog spam)
     Recommendation systems
     Social networking and community identification
     Trend spotting
     Link-analysis and graph mining on the Web
     Graph based methods for analyzing Web information
     Web personalization and user modeling

 Prospective submitters unsure if their paper is relevant to this  track may send queries to aiweb06 at cs.umbc.edu. Papers for this  special track should be prepared and submitted following the  general technical conference paper submission guidelines.  Submitted papers will be reviewed by qualified reviewers drawn  from a special track committee as well as the general program  committee, with the final selections determined by the track  co-chairs in conjunction with the AAAI-06 co-chairs.  Submissions  to this special track that are deemed not to be relevant may be  considered for review for the general technical papers track at  the discretion of the chairs.  Additional information including  the names of the program committee members is available at  http://www.cs.umbc.edu/aaai06/.

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