The 16th Conference of the European Chapter
of the Association for Computational Linguistics

April 19 – 23
2021

Welcome to EACL 2021!

This is the archived page of EACL2021. EACL2021 took place from April 19 – 23 2021

Here is how to use this website to find live events (at fixed times) plus pre-recorded talks you can watch anytime.

Schedule
Use the Schedule to find live sessions and set your timezone.
Plenary Sessions
Plenary Sessions include live Keynote Talks + live Q&A, and live Awards ceremonies. See the program under Plenary Sessions.
Main Conference Papers
Each paper has a pre-recorded 7-12 minute talk, one live Q&A video sessions (on Zoom or in Gather.Town) at different times, and a linked RocketChat channel (for chatting anytime with the author). This includes System Demonstrations papers.
Tutorials and Workshops
The 5 tutorials and 14 workshops (April 19-20) are all included under conference registration. Some are fully pre-recorded, others include live sessions as well!
Gather.town (now disabled)
Join the virtual conference venue in Gather.Town! Come here to learn a bit about accessing EACL events in Gather.Town, via 'Virtual Chair'."
Sponsors
Meet our sponsors.
Chat (now disabled)
Chat with attendees using various RocketChat channels! When you access RocketChat for the first time, click on 'Login via EACL2021 account' and your EACL2021 credentials will be automatically used to log you in to RocketChat.
Socials
Meet new people using social events throughout the week.
Help
Look under Help for FAQs and technical support.
Social Media
Use the hashtag #eacl2021

The EACL2021 virtual conference website uses MiniConf built by Hendrik Strobelt and Sasha Rush that was extended by the amazing teams of EMNLP2020 and ACL 2020. The EACL2021 infrastructure committee is very grateful to the volunteers and contributors whose valuable contributions to building the virtual infrastructure made the conference possible. We would also like to thank Nitin Madnani for his advice and IT support regarding the virtual infrastructure. We also want to thank AI2 for contributing the SPECTER model used in the "Similar Papers" feature, David Wadden et al. for DyGIE++ that generated paper keywords for us and the team of Connected Papers for providing us with similarity graphs.