[open-linguistics] CFP: ACL 2012 3rd Workshop "The People's Web meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP"

Tue Nov 29 19:30:25 UTC 2011

apologies for cross-postings

CALL FOR PAPERS

ACL 2012 Third Workshop

The People's Web meets NLP:
Collaboratively Constructed Semantic Resources and their Applications to NLP

Jeju, Republic of Korea
July 12-13, 2012
http://www.ukp.tu-darmstadt.de/scientific-community/acl-2012-workshop

===Introduction===

Recent recognition of Collaboratively Constructed Semantic Resources (CSRs) such 
as Wikipedia [1], Wiktionary [2], Linked Open Data [3], and other resources 
developed using crowdsourcing such as Games with a Purpose [4] and Mechanical 
Turk [5] has substantially contributed to the research in natural language 
processing (NLP). 

Researchers started to use such resources to substitute for or supplement 
conventional lexical semantic resources such as WordNet or linguistically 
annotated corpora in different NLP tasks. Another research direction is to 
utilize NLP techniques to enhance the collaboration process and its outcome. 
This improves the overall quality of the CSRs [6,7]. Overall, the emergence of 
CSRs has generated new challenges to the research field that are to be addressed 
in the proposed workshop. 

The preceding "The People's Web meets NLP" workshops at ACL-IJCNLP 2009 and 
COLING 2010 have successfully gathered researchers from different areas, and 
enabled an interdisciplinary exchange of research outcomes and ideas. Such 
collaboration has contributed to the creation of valuable semantic resources and 
tools based on CSRs, such as word sense alignments between WordNet, Wikipedia, 
and Wiktionary [8,9,10], folksonomy and named entity ontologies [11,12], 
multiword terms [13], ontological resources [14,15], annotated corpora [16], and 
Wikipedia and Wiktionary APIs.  

The obvious next step in this area is to intensify research that demonstrates 
the effectiveness of the resources mined from CSRs as listed above in a variety 
of NLP tasks. This is why the 3rd workshop "The People's Web meets NLP" will 
especially welcome submissions that utilize resources and tools for CSRs. We 
invite both long and short papers and especially encourage to show the benefit 
of CSRs in diverse NLP tasks, for example word sense disambiguation [17] and 
semantic role labeling [18], in addition to further exploration of various 
aspects of CSRs. We also welcome tutorial-like submissions on using the software 
for CSRs to facilitate their wide adoption by the NLP community. 

[ 1] Olena Medelyan, David Milne, Catherine Legg and Ian H. Witten. Mining 
     meaning from Wikipedia. In: International Journal of Human-Computer
     Studies. 67(9), 2009. 
[ 2] Torsten Zesch, Christof Müller and Iryna Gurevych. Extracting Lexical 
     Semantic Knowledge from Wikipedia and Wiktionary. In: Proceedings of the 
     Conference on Language Resources and Evaluation, 2008. 
[ 3] Yuan Ni, Lei Zhang, Zhaoming Qiu, and Chen Wang. Enhancing the open-domain 
     classification of named entity using linked open data. In: Proceedings of
     the 9th international semantic web conference (ISWC'10), 566-581, 2010. 
[ 4] Luis von Ahn and Laura Dabbish. General Techniques for Designing Games with 
     a Purpose. Communications of the ACM, 2008. 
[ 5] Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. Cheap and 
     Fast---But is it Good? Evaluating Non-Expert Annotations for Natural
     Language Tasks. Proceedings of EMNLP. 2008. 
[ 6] Rada Mihalcea and Andras Csomai. Wikify!: Linking Documents to Encyclopedic 
     Knowledge. In: Proceedings of the Sixteenth ACM Conference on Information
     and Knowledge Management, CIKM 2007. 
[ 7] Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael 
     Hoffmann, Kayur Patel and Michael Skinner. Intelligence in Wikipedia. In: 
     Proceedings of the Twenty-Third Conference on Artificial Intelligence
     (AAAI-08), 2008. 
[ 8] Elisabeth Niemann and Iryna Gurevych. The People's Web meets Linguistic 
     Knowledge: Automatic Sense Alignment of Wikipedia and WordNet. In:
     Proceedings of the International Conference on Computational Semantics
     (IWCS), pp. 205-214, 2011. 
[ 9] Christian M. Meyer and Iryna Gurevych. What Psycholinguists Know About 
     Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage.
     In: Proceedings of the 5th International Joint Conference on Natural
     Language Processing (IJCNLP), 2011. 
[10] Roberto Navigli and Simone Paolo Ponzetto. BabelNet: Building a very large 
     multilingual semantic network. In: Proceedings of the 48th Annual Meeting
     of the Association for Computational Linguistics (ACL), 2010. 
[11] Noriko Tomuro and Andriy Shepitsen. Construction of Disambiguated 
     Folksonomy Ontologies Using Wikipedia. In: Proceedings of the 2009 Workshop
     on The People's Web Meets NLP: Collaboratively Constructed Semantic
     Resources, 2009. 
[12] Yumi Shibaki, Masaaki Nagata and Kazuhide Yamamoto. Constructing 
     Large-Scale Person Ontology from Wikipedia. In: Proceedings of the 2nd
     Workshop on The People's Web Meets NLP: Collaboratively Constructed
     Semantic Resources, 2010. 
[13] Silvana Hartmann, Gyuri Szarvas and Iryna Gurevych. Mining Multiword Terms 
     from Wikipedia. In M.T. Pazienza & A. Stellato (Eds.): Semi-Automatic
     Ontology Development: Processes and Resources, 2011. 
[14] Christian M. Meyer and Iryna Gurevych. OntoWiktionary — Constructing an 
     Ontology from the Collaborative Online DictionaryWiktionary. In M. T.
     Pazienza and A. Stellato (Eds.): Semi-Automatic Ontology Development:
     Processes and Resources, 2011. 
[15] Vivi Nastase, Michael Strube, Benjamin Börschinger, Cäcilia Zirn, and Anas 
     Elghafari. WikiNet: A very large scale multi-lingual concept network. In: 
     Proceedings of the 7th International Conference on Language Resources and 
     Evaluation (LREC), 2010. 
[16] Jon Chamberlain, Udo Kruschwitz and Massimo Poesio. Constructing an 
     Anaphorically Annotated Corpus with Non-Experts: Assessing the Quality of 
     Collaborative Annotations. In: Proceedings of the 2009 Workshop on The
     People's Web Meets NLP: Collaboratively Constructed Semantic Resources,
     2009. 
[17] Simone Paolo Ponzetto and Roberto Navigli. Knowledge-rich Word Sense 
     Disambiguation rivaling supervised systems. In: Proceedings of the 48th
     Annual Meeting of the Association for Computational Linguistics (ACL),
     2010. 
[18] Ana-Maria Giuglea and Alessandro Moschitti. Semantic role labeling via 
     FrameNet, VerbNet and PropBank. In: Proceedings of the 21st International 
     Conference on Computational Linguistics and the 44th annual meeting of the 
     Association for Computational Linguistics (ACL), 2006.  

===Topics===

Specific topics include but are not limited to:

* Using collaboratively constructed resources and the information mined from 
  them for NLP tasks (cf. Section "References"), such as word sense 
  disambiguation, semantic role labeling, information retrieval, text 
  categorization, information extraction, question answering, etc.; 
* Mining social and collaborative content for constructing structured lexical 
  semantic resources, annotated corpora and the corresponding tools; 
* Analyzing the structure of collaboratively constructed resources related to 
  their use in NLP; 
* Computational linguistics studies of collaboratively constructed resources, 
  such as wiki-based platforms or folksonomies; 
* Structural and semantic interoperability of collaboratively constructed 
  resources with conventional semantic resources and between themselves; 
* Mining multilingual information from collaboratively constructed resources;
* Using special features of collaboratively constructed resources to create 
  novel resource types, for example revision-based corpora, simplified versions
  of resources, etc.; 
* Quality and reliability of collaboratively constructed lexical semantic 
  resources and annotated corpora; 
* Hands-on practical knowledge on utilization of CSR APIs and tools or designing 
  crowdsourcing procedures for high quality outcomes. 

Though the workshop welcomes any CSRs-related topics, preference will be given 
to submissions on CSRs' application to NLP tasks, which is the special interest 
of this workshop edition. Thereby, we encourage the participation of researchers 
with various backgrounds: from computational linguistics (e.g. parsing and 
discourse analysis) to NLP applications and other areas that might benefit from 
collaboratively constructed semantic resources. Given that we receive a 
sufficient number of tutorial-like submissions, a dedicated presentation session 
for those will be scheduled. 

Extended versions of the papers may be submitted in parallel for publication in 
an edited volume "The People's Web Meets NLP: Collaboratively Constructed 
Language Resources." The book will be published in fall - winter 2012 as part
of the Springer book series: "Theory and Applications of Natural Language 
Processing", E. Hovy, M. Johnson and G. Hirst (eds.). Please refer to the open 
call for contributions shown below: 

http://www.ukp.tu-darmstadt.de/scientific-community/edited-book-the-peoples-web
-meets-nlp 

===Submission Information===

The following is to be confirmed

Full paper submissions should follow the two-column format of ACL 2012 
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 2012 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 are available on 
the conference website (http://www.acl2012.org/call/sub01.asp). All submissions 
must conform to the official ACL 2012 style guidelines announced in the
conference website and they must be electronic in PDF. 

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.  

Submission will be electronic using submission software 
(https://www.softconf.com/acl2012/people-web-2012). All accepted papers will be 
presented orally and published in the workshop proceedings. 

===Important dates===

March 18, 2012          Paper submission deadline (full and short)
April 16, 2012          Notification of acceptance
April 30, 2012          Camera-ready version due
July 12-13, 2012        ACL 2012 Workshops

The exact date for the workshop "The People's Web meets NLP: Collaboratively 
Constructed Semantic Resources and their Applications to NLP" is yet to be 
announced. 

===Organizers===

Iryna Gurevych                Ubiquitous Knowledge Processing Lab, TU Darmstadt
Nicoletta Calzolari Zamorani  Istituto di Linguistica Computazionale, CNR
Jungi Kim                     Ubiquitous Knowledge Processing Lab, TU Darmstadt

===Program Committee===

Andras Csomai            Google Inc.
Andreas Hotho            Julius-Maximilians-Universität Würzburg
Anette Frank             Heidelberg University
Benno Stein              Bauhaus University Weimar
Christian Meyer          Technische Universität Darmstadt
David Milne              University of Waikato
Delphine Bernhard        University of Strasbourg
Diana McCarthy           Lexical Computing Ltd, UK
Donald Metzler           Information Sciences Institute, University of Southern
                           California
Emily Pitler             University of Pennsylvania
Ernesto William De Luca	 Technische Universität Berlin
Florian Laws             University of Stuttgart
Gerard de Melo           UC Berkeley
German Rigau             University of the Basque Country
Graeme Hirst             University of Toronto
Günter Neumann           DFKI Saarbrücken
Ido Dagan                Bar Ilan University
John McCrae              University of Bielefeld
Jong-Hyeok Lee           Pohang University of Science and Technology
Judith Eckle-Kohler      Technische Universität Darmstadt
Key-Sun Choi             Korea Advanced Institute of Science and Technology
Magnus Sahlgren          Swedish Institute of Computer Science
Manfred Stede            Universität Potsdam
Massimo Poesio           University of Essex 
Omar Alonso              Microsoft Bing
Paul Buitelaar           DERI, National University of Ireland, Galway
Rene Witte               Concordia University Montréal
Roxana Girju             University of Illinois at Urbana-Champaign
Saif Mohammad            National Research Council Canada
Shuming Shi              Microsoft Research
Sören Auer               Leipzig University
Tat-Seng Chua            National University of Singapore
Tonio Wandmacher         SYSTRAN, Paris, France
Zornitsa Kozareva        Information Sciences Institute, University of Southern
                           California