2022Q3 Reports: SIGREP
Summary
SIGREP is the ACL Special Interest Group on Representation Learning. It seeks to promote research on representation learning in Natural Language Processing, specifically methods for inferring representations from data, as well as studying evaluation and transferability of representations, and organises the annual ACL workshop on Representation Learning for NLP (Repl4NLP).
Membership
Currently, SIGREP has 2000 members.
Board
SIGREP currently has the following officers:
- President: Isabelle Augenstein
- Secretary: Anna Rogers
In addition, there is a Senior Organising Committee (SOC), which is responsible for recruiting and selecting organising committee members for SIG events such as RepL4NLP, and advising them during the organisation of the event.
- Laura Rimell
- Edward Grefenstette
- Chris Dyer
- Kyunghyun Cho
- Isabelle Augenstein
- Anna Rogers
The next SIGREP board election is due to take place in October 2022.
Repl4NLP 2022
The 7th Workshop on Representation Learning for NLP (RepL4NLP) was co-located with ACL 2022 and held on 26 May 2022. The workshop was organised by:
- Spandana Gella
- He He
- Bodhisattwa Prasad Majumder
- Burcu Can
- Eleonora Giunchiglia
- Samuel Cahyawijaya
- Sewon Min
- Maximilian Mozes
- Xiang Lorraine Li
and advised by the SOC.
Keynote speakers were:
- Been Kim, Google Brain
- Emma Strubell, Carnegie Mellon University
- Monojit Choudhury, Microsoft Turing, India
- Percy Liang, Stanford University
- Patrick Lewis, Meta AI
More details on the workshop can be found under https://sites.google.com/view/repl4nlp2022/home
Website
The SIGREP website with all information about the SIG and co-located events can be found under http://www.sigrep.org/