SIGDAT is the Association for Computational Linguistics special interest group for linguistic data and corpus-based approaches to natural language processing. SIGDAT organizes the EMNLP Conference.
SIGDAT was founded in 1993 and is one of ACL’s oldest SIGs. Since its inception, SIGDAT’s primary mission has been to organize a series of conferences and workshops, including EMNLP (Conference on Empirical Methods in Natural Language Processing) and WVLC (Workshop on Very Large Corpora). These meetings have become quite popular, and and EMNLP is now a 3-day conference with 700+ attendees and 1300 paper submissions in 2015.
SIGDAT is generally focused on corpus-based and statistical methods in Natural Language Processing, and encourages initiatives in support of this broader mission from its members.
The 2018 Conference on Empirical Methods in Natural Language Processing will be held from October 31-November 4, 2018 in Brussels, Belgium.
Ellen Riloff, University of Utah, USA
David Chiang, University of Notre Dame, USA
Julia Hockenmaier, University of Illinois Urbana-Champaign, USA
Junichi Tsujii, Artificial Intelligence Research Center, Japan
Local organizing committee
Marie-Francine Moens, KU Leuven, Belgium (chair)
Dominique De Brabanter, KU Leuven, Belgium
Frieda Steurs, KU Leuven, Belgium
Hugo Van hamme, KU Leuven, Belgium