* * * * * * * * * * * * * * * * * * * * * * * *
LINGUIST List logo Eastern Michigan University Wayne State University *
* People & Organizations * Jobs * Calls & Conferences * Publications * Language Resources * Text & Computer Tools * Teaching & Learning * Mailing Lists * Search *
* *
LINGUIST List 17.20

Tue Jan 10 2006

Calls: Computational Ling/USA

Editor for this issue: Kevin Burrows <kevinlinguistlist.org>


As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text. To post to LINGUIST, use our convenient web form at http://linguistlist.org/LL/posttolinguist.html.
Directory
        1.    Dragomir Radev, HLT-NAACL 2006 Workshop on Graph-Based Methods for NLP
        2.    Dragomir Radev, AAAI 2006 special track on AI and the Web


Message 1: HLT-NAACL 2006 Workshop on Graph-Based Methods for NLP
Date: 28-Dec-2005
From: Dragomir Radev <radevumich.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: < click here to access email >
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: AAAI 2006 special track on AI and the Web
Date: 28-Dec-2005
From: Dragomir Radev <radevumich.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: < click here to access email >
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: aiweb06cs.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 aiweb06cs.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/.





Respond to list|Read more issues|LINGUIST home page|Top of issue




Please report any bad links or misclassified data

LINGUIST Homepage | Read LINGUIST | Contact us

NSF Logo

While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed
on its pages, it cannot vouch for their contents.