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acknowledgments

Treebank and Unlabeled data Provider Teams

Coordination effort, Normalization, Alignment between Const. and Dep.

Djamé Seddah, Reut Tsarfaty and Sandra Kübler

Arabic
  • Nizar Habash, Ryan Roth (Columbia University) Dependencies from Catib's treebank and full predicted morphology data
  • Spence Green (Stanford University) Code to build Stanford-like Constituents trees
  • Ann Bies, Seth Kullick, Mohammed Maamouri (the Linguistic Data Consortium) Original data set
Basque
  • Koldo Gojenola, Iakes Goenaga (University of the Basque Country)
French
  • Marie Candito (Univ. Paris 7 & Alpage), Djamé Seddah (Univ. Paris Sorbonne & Alpage)
  • Matthieu Constant (Univ. Marne la Vallée)
German
  • Wolfgang Seeker (IMS), Wolfgang Maier (Univ. of Dusseldorf), Yannick Versley (Univ. of Tuebingen)
Hebrew
  • Yoav Goldberg (Bar Ilan Univ.), Reut Tsarfaty (Weizmann Institute of Science)
Hungarian
  • Richárd Farkas, Veronika Vincze (Univ. of Szeged)
Korean
  • Jinho D. Choi (Univ. of Massachusetts Amherst)
  • Jungyeul Park (Kaist)
Polish
  • Adam Przepiorkowski, Marcin Woliński, Alina Wróblewska (Institute of Computer Science, Polish Academy of Sciences)
Swedish
  • Joakim Nivre (Uppsala Univ.), Marco Kuhlmann (Linköping University)

We thank the Linguistic Data Consortium for agreeing to release their current versions of the Arabic Treebank for this Shared Task. (Ann Bies, Denise Di Pierso, Seth Kullick, Mohammed Maamouri).

For their precious help preparing the SPMRL 2013 and 2014 Shared Task and for allowing their data to be part of it, we warmly thank the Linguistic Data Consortium, the Knowledge Center for Processing Hebrew (MILA), the Ben Gurion University, Columbia University, Institute of Computer Science (Polish Academy of Sciences), Korea Advanced Institute of Science and Technology, University of the Basque Country, Uppsala University, University of Stuttgart, University of Szeged and University Paris Diderot (Paris 7). We are also very grateful to the Philosophical Faculty of the Heinrich-Heine Universität Düsseldorf for hosting the shared task data via their dokuwiki.

The Swedish PAROLE corpus is kindly provided by Språkbanken at the University of Gothenburg.

acknowledgments.txt · Last modified: 2014/05/26 05:34 by seddah