Difference between revisions of "2023Q3 Reports: SIGDAT"
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Officers in 2023: | Officers in 2023: | ||
− | · President: Mona Diab, Carnegie | + | · President: Mona Diab, Carnegie Mellon University, USA |
· Vice President: Isabelle Augenstein, University of Copenhagen, Denmark | · Vice President: Isabelle Augenstein, University of Copenhagen, Denmark |
Latest revision as of 08:07, 14 July 2023
SIGDAT 2023 Report
Membership: 5176 (2020, 2021, 2022) voting members, 1717 (2023 current)
Officers in 2023:
· President: Mona Diab, Carnegie Mellon University, USA
· Vice President: Isabelle Augenstein, University of Copenhagen, Denmark
· Vice President-Elect: Alice Oh, KAIST, Republic of Korea
· Secretary-Treasurer: Chin-Yew Lin, Microsoft Search Technology Center Asia, China
Elections:
· Dec 2023, SIGDAT VP-Elect Election
· Dec 20-31, 2022, SIGDAT VP-Elect Election
Activities: 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) Call for Bids
· SIGDAT (Special Interest Group on Linguistic Data & Corpus-based Approaches to Natural Language Processing) of ACL hereby invites proposals to host the annual EMNLP conference in Asia-Pacific, Europe, or MENA, Global South (Africa, Latin America, Mid and South Asia) with a preference for Global South, December 2024. Some of the proposals will also be considered for EMNLP in 2025 and beyond.
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
· December 6-December 10, 2023
· Experimenting Open Review platform for main conference paper review
· Singapore
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
· December 7-December 11, 2022
· Abu Dhabi
· Website https://nam06.safelinks.protection.outlook.com/? url=https%3A%2F%2F2022.emnlp.org%2F&data=05%7C01%7Ccyl%40microsoft.com%7C2d4cb73d29df453926ca08db81898e1e%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638246200057209894%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MnLlgQVS3gx5YW7NeR49VgA6u9U2teQy0eTdUfokzfU%3D&reserved=0
Website (link): http://www.sigdat.org