August 20, 2019. The list of accepted demo papers is out.
August 17, 2019. Important visa information now available.
August 15, 2019. The list of accepted tutorials is out.
August 14, 2019. Some preliminary information on registration found here. More to follow soon.
August 12, 2019. Information on travel scholarships & student volunteer program now available. The application form will follow soon.
SIGDAT, the Association for Computational Linguistics (ACL) special interest group on linguistic data and corpus-based approaches to NLP, and the AFNLP, the Asian Federation of Natural Language Processing, 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, China.
EMNLP-IJCNLP 2019 will be held at the Asia World Expo in Hong Kong from November 3rd through November 7th, 2019.
|Anonymity period begins||Sunday|
|Abstracts due (long & short)||Wednesday|
|Submissions due (long & short)||Tuesday|
|Submissions due (demos)||Monday|
|Author response period starts||Tuesday|
|Author responses due||Monday|
|Notification of acceptance||Monday|
|Camera-ready papers due||Friday||August 30, 2019|
|Travel scholarships & student volunteer application due||Thursday||September 12, 2019|
|Travel scholarships & student volunteer notification||Thursday||September 19, 2019|
|Workshops & tutorials||Sunday – Monday||November 3–4, 2019|
|Main conference||Tuesday – Thursday||November 5–7, 2019|
Note. All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h).
EMNLP-IJCNLP 2019 adheres to the ACL Anti-Harassment Policy.
Any participant who experiences harassment or hostile behavior may contact any current member of the ACL Executive Committee or contact Priscilla Rasmussen, who is usually available at the registration desk of the conference.
Please be assured that if you approach us, your concerns will be kept in strict confidence, and we will consult with you on any actions taken.