[Elsnet-list] Extended Deadline 8.5.: ACL/IJCNLP-2009 Workshop - The People's Web meets NLP: Collaboratively Constructed Semantic Resources

Prof. Dr. Iryna Gurevych gurevych at tk.informatik.tu-darmstadt.de
Thu Apr 30 17:50:22 CEST 2009

ACL/IJCNLP-2009 Workshop


"The People's Web meets NLP:

Collaboratively Constructed Semantic Resources"


Co-located with Joint conference of the 47th Annual Meeting of the

Association for Computational Linguistics and the 4th International

Joint Conference on Natural Language Processing of the Asian

Federation of Natural Language Processing



August 7th, 2009




Extended paper submission deadline (full and short): May  8, 2009





In recent years, online resources collaboratively constructed by

users on the Web have considerably influenced the NLP community. In many

works, they have been used as a substitute for conventional semantic

resources and as semantically structured corpora with great success.

While conventional resources such as WordNet are developed by trained

linguists [1], online semantic resources can now be automatically

extracted from the content collaboratively created by the users [2].

Thereby, the knowledge acquisition bottlenecks and coverage problems

pertinent to conventional lexical semantic resources can be overcome.


The resource that has gained the greatest popularity in this respect

so far is Wikipedia. However, other resources recently discovered in

NLP, such as folksonomies, the multilingual collaboratively

constructed dictionary Wiktionary, or Q&A sites like WikiAnswers or

Yahoo! Answers are also very promising. Moreover, new wiki-based

platforms such as Citizendium or Knol have recently emerged that

offer features distinct from Wikipedia and are of high potential

in terms of their use in NLP.


The benefits of using Web-based resources come along with new

challenges, such as the interoperability with existing resources and

the quality of the knowledge represented. As collaboratively created

resources lack editorial control, they are typically incomplete. For

the interoperability with conventional resources, the mappings have

to be investigated. The quality of collaboratively constructed

resources is questioned in many cases, and the information extraction

remains a complicated task due to the incompleteness and semi-

structuredness of the content. Therefore, the research community has

begun to develop and provide tools for accessing collaboratively

constructed resources [2,5].


The above listed challenges actually present a chance for NLP

techniques to improve the quality of Web-based semantic resources.

Researchers have therefore proposed techniques for link prediction [3]

or information extraction [4] that can be used to guide the "crowds"

to construct resources that are better suited for being used in NLP

in return.


[1] Christiane Fellbaum

    WordNet An Electronic Lexical Database.

    MIT press, 1998.

[2] Torsten Zesch, Christof Mueller and Iryna Gurevych

    Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary

    Proceedings of the Conference on Language Resources and Evaluation

    (LREC), 2008.



[3] Rada Mihalcea and Andras Csomai

    Wikify!: Linking Documents to Encyclopedic Knowledge.

    Proceedings of the Sixteenth ACM Conference on Information and

    Knowledge Management, CIKM 2007.

[4] Daniel S. Weld et al.

    Intelligence in Wikipedia.

    Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.

[5] Kotaro Nakayama et al.

    Wikipedia Mining - Wikipedia as a Corpus for Knowledge Extraction.

    Proceedings of the Annual Wikipedia Conference (Wikimania), 2008.






The workshop will bring together researchers from both worlds: those

using collaboratively created resources in NLP applications such as

information retrieval, named entity recognition, or keyword extraction,

and those using NLP applications for improving the resources or

extracting different types of semantic information from them. Hopefully,

this will turn into a feedback loop, where NLP techniques improved by

collaboratively constructed resources are used to improve the resources

in exchange.


Specific topics include but are not limited to:

 * Different types of collaboratively constructed resources, such as

   wiki-based platforms, Q&A sites or folksonomies;

 * Using collaboratively constructed resources in NLP such as

   information retrieval, text categorization, information

   extraction, etc.;

 * Analyzing the properties of collaboratively constructed resources

   related to their use in NLP;

 * Interoperability of collaboratively constructed resources with

   conventional semantic resources and between themselves;

 * Converting unstructured information into structured lexical

   semantic information; tools for mining social and collaborative


 * Quality issues with respect to collaboratively constructed resources.


We also encourage the submission of short papers describing publicly

available tools for accessing or analyzing collaboratively created

resources. During the breaks, tables can be provided for demonstrations.





Rada Mihalcea, University of North Texas





Full paper submissions should follow the two-column format of ACL-IJCNLP

2009 proceedings without exceeding eight (8) pages of content plus one

extra page for references.  Short paper submissions should also follow

the two-column format of ACL-IJCNLP 2009 proceedings, and should not

exceed four (4) pages, including references.

We strongly recommend the use of ACL LaTeX style files or Microsoft

Word Style files tailored for this year's conference, which will be

available on the conference website. All submissions must conform to

the official ACL-IJCNLP 2009 style guidelines available at:



As the reviewing will be blind, the paper must not include the authors'

names and affiliations. 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.  


All accepted papers will be presented orally and published in the

workshop proceedings.

The deadline for all papers is May 1st, 2009 (GMT-12).


Submission is electronic using paper submission software at:






Paper submission deadline (full and short): May  8, 2009 (extended)

Notification of acceptance of papers:       June 1, 2009

Camera-ready copy of papers due:            June 7, 2009

ACL-IJCNLP 2009 Workshop:                   Aug  7, 2009





Iryna Gurevych

Torsten Zesch


Ubiquitous Knowledge Processing Lab

Technical University of Darmstadt, Germany





Delphine Bernhard   Technische Universiaet Darmstadt

Paul Buitelaar      DERI, National University of Ireland, Galway

Razvan Bunescu      University of Texas at Austin

Pablo Castells      Universidad Autononoma de Madrid

Philipp Cimiano     Karlsruhe University

Irene Cramer        Dortmund University of Technology

Andras Csomai       Google Inc.

Ernesto De Luca     University of Magdeburg

Roxana Girju        University of Illinois at Urbana-Champaign

Andreas Hotho       University of Kassel

Graeme Hirst        University of Toronto

Ed Hovy             University of Southern California

Jussi Karlgren      Swedish Institute of Computer Science

Boris Katz          Massachusetts Institute of Technology

Adam Kilgarriff     Lexical Computing Ltd

Chin-Yew Lin        Microsoft Research

James Martin        University of Colorado Boulder

Olena Medelyan      University of Waikato

David Milne         University of Waikato

Saif Mohammad       University of Maryland

Dan Moldovan        University of Texas at Dallas

Kotaro Nakayama     University of Tokyo

Ani Nenkova         University of Pennsylvania

Guenter Neumann     DFKI Saarbruecken

Maarten de Rijke    University of Amsterdam

Magnus Sahlgren     Swedish Institute of Computer Science

Manfred Stede       Potsdam University

Benno Stein         Bauhaus University Weimar

Tonio Wandmacher    University of Osnabrueck

Rene Witte          Concordia University Montreal

Hans-Peter Zorn     European Media Lab, Heidelberg

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