================================================================== CALL FOR PARTICIPATION COLING 2010 Workshop The 2nd Workshop on "The People's Web meets NLP: Collaboratively Constructed Semantic Resources" http://www.ukp.tu-darmstadt.de/scientific-community/coling-2010-workshop/ ----------------------------------------------------------------- Beijing, China, August, 28, 2010 COLING 2010 KEYWORDS: Wikipedia, Wiktionary, Mechanical Turk, Games with a purpose, Folksonomies, Twitter, Social Networks INVITED TALK Tat-Seng Chua, National University of Singapore REGISTRATION http://www.coling-2010.org/Registration.htm PRELIMINARY PROGRAM 9:15-9:30 Opening Remarks 9:30-10:00 Constructing Large-Scale Person Ontology from Wikipedia, Yumi Shibaki, Masaaki Nagata and Kazuhide Yamamoto 10:00-10:30 Using the Wikipedia Link Structure to Correct the Wikipedia Link Structure, Benjamin Mark Pateman and Colin Johnson 10:30-11:00 Coffee Break 11:00-11:30 Extending English ACE 2005 Corpus Annotation with Ground-truth Links to Wikipedia, Luisa Bentivogli, Pamela Forner, Claudio Giuliano, Alessandro Marchetti, Emanuele Pianta and Kateryna Tymoshenko 11:30-12:00 Expanding textual entailment corpora from Wikipedia using co-training, Fabio Massimo Zanzotto and Marco Pennacchiotti 12:00-12:30 Pruning Non-Informative Text Through Non-Expert Annotations to Improve Aspect-Level Sentiment Classification, Ji Fang, Bob Price and Lotti Price 12:30-14:00 Lunch Break 14:00-15:00 Invited Talk by Tat-Seng Chua, National University of Singapore 15:00-15:30 Measuring Conceptual Similarity by Spreading Activation over Wikipedia's Hyperlink Structure, Stephan Gouws, G-J van Rooyen and Herman A. Engelbrecht 15:30-16:00 Coffee Break 16:00-16:30 Identifying and Ranking Topic Clusters in the Blogosphere, M. Atif Qureshi, Arjumand Younus, Muhammad Saeed, Nasir Touheed, Emanuele Pianta and Kateryna Tymoshenko 16:30-16:50 Helping Volunteer Translators, Fostering Language Resources, Masao Utiyama, Takeshi Abekawa, Eiichiro Sumita and Kyo Kageura 16:50-17:30 Discussion ORGANIZERS Iryna Gurevych Torsten Zesch Ubiquitous Knowledge Processing Lab Technische Universität Darmstadt, Germany PROGRAM COMMITTEE Andras Csomai Google Inc. Anette Frank Heidelberg University Benno Stein Bauhaus University Weimar Bernardo Magnini ITC-irst Trento Christiane Fellbaum Princeton University Dan Moldovan University of Texas at Dallas Delphine Bernhard LIMSI-CNRS, Orsay Diana McCarthy Lexical Computing Ltd Elke Teich Technische Universität Darmstadt Emily Pitler University of Pennsylvania Eneko Agirre University of the Basque Country Erhard Hinrichs Eberhard Karls Universität Tübingen Ernesto De Luca Technische Universität Berlin Florian Laws University of Stuttgart Gerard de Melo MPI Saarbrücken German Rigau University of the Basque Country Graeme Hirst University of Toronto Günter Neumman DFKI Saarbrücken György Szarvas Technische Universität Darmstadt Hans-Peter Zorn European Media Lab, Heidelberg José Iria University of Sheffield Laurent Raumary LORIA, Nancy Magnus Sahlgren Swedish Institute of Computer Science Manfred Stede Potsdam University Omar Alonso A9.com, Inc. Pablo Castells Universidad Autónonoma de Madrid Paul Buitelaar DERI, National University of Ireland, Galway Philipp Cimiano Delft University of Technology Razvan Bunescu University of Texas at Austin Rene Witte Concordia University Montréal Roxana Girju University of Illinois at Urbana-Champaign Saif Mohammad University of Maryland Samer Hassan University of North Texas Sören Auer Leipzig University Tonio Wandmacher CEA, Paris INTRODUCTION The workshop builds upon the success of the first ACL "The People's Web meets NLP" Workshop in 2009 that attracted 21 submissions. Accepted submissions included papers on Wikipedia [1], Wiktionary [2], Mechanical Turk [3], and game-based construction of semantic resources [4]. This clearly demonstrates a substantial and growing interest of the NLP community in collaboratively constructed semantic resources (CSRs), also evidenced by the increasing number of publications in this area and the EMNLP 2009 Web 2.0 track. In many works, CSRs have been used to overcome the knowledge acquisition bottleneck and coverage problems pertinent to conventional lexical semantic resources. The greatest popularity in this respect can so far certainly be attributed to Wikipedia [1]. However, other resources, such as folksonomies or the multilingual collaboratively constructed dictionary Wiktionary, have also shown great potential. Thus, the scope of the workshop deliberately includes any collaboratively constructed resource, not only Wikipedia. Effective deployment of CSRs to enhance NLP introduces a pressing need to address a set of fundamental challenges, e.g. the interoperability with existing resources, or the quality of the extracted lexical semantic knowledge. Interoperability between resources is crucial as no single resource provides perfect coverage. The quality of CSRs is a fundamental issue, as they lack editorial control and entries are often incomplete. Thus, techniques for link prediction [5] or information extraction [6] have been proposed to guide the "crowds" while constructing resources of better quality. [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 Mueller and Iryna Gurevych Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary Proceedings of the Conference on Language Resources and Evaluation (LREC), 2008. http://www.ukp.tu-darmstadt.de/software/jwpl/ http://www.ukp.tu-darmstadt.de/software/jwktl/ [3] 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. [4] Luis von Ahn and Laura Dabbish. General Techniques for Designing Games with a Purpose. Communications of the ACM, 2008. [5] Rada Mihalcea and Andras Csomai Wikify!: Linking Documents to Encyclopedic Knowledge. Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007. [6] Daniel S. Weld et al. Intelligence in Wikipedia. Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.