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 EMNLP is now a 3-day main conference with 2 day workshops and tutorials, having about 2500 attendees and 2137 paper submissions in 2018.
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.
SIGDAT and AFNLP invite you to participate in the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) and 9th International Joint Conference on Natural Language Processing (IJCNLP) in Hong Kong. EMNLP-IJCNLP 2019 will be held at the Asia World Expo in Hong Kong from November 3-7, 2019.
Kentaro Inui, Tohoku University, Japan
Jing Jiang, Singapore Management University, Singapore
Vincent Ng, University of Texas at Dallas, USA
Xiaojun Wan, Peking University, China
Local organizing committee chair
Kam-Fai Wong, Chinese University of Hong Kong, China