A Bird's Eye View of EMNLP 2021
This page showcases blogposts by participants of the PhD course "Communicating State-of-the-art NLP Research to a Broader Audience" held at ITU in November 2021:
Even with videos on 2x, ingesting all the findings from the recent Conference on Empirical Methods for Natural Language Processing (EMNLP) was a daunting task. Through a synchronous workshop with PhDs from across Danish (and some European) universities, we tried to identify larger trends from different subdisciplines and distill them for a broader audience under the guidance of our invited scientific communicator Carolin Lawrence.
Depth and Breadth
Thanks to everyone's hard work, we can now present you with a collection of highlighted blog posts on a wide array of research from EMNLP:
Efficiency@EMNLP2021 for Everyone
Andreas Holm
About Biases in the Data and How That Affects The Factual Knowledge Language Models Learn
Constanza Fierro
I Agree with "Agreeing to Disagree"
David Sasu
How Robust Are Transformers?
Dennis Ulmer
Just Act Natural
Max Müller-Eberstein
A Glance at the Uniform Information Density Hypothesis in Language Processing and Speech Production
Nina Schneidermann
A Summarization of Summarization Papers from EMNLP 2021
Sotaro Takeshita
Crowdsourcing Annotations for Subjective NLP Tasks: Disagreement Is Signal, Not Noise
Terne Sasha Thorn Jakobsen
Generating or Ensembling Adapters for Low-resource Languages
Tommaso Green
We encourage you to dive deep into each of the topics above, since they helped us come out of the conference with a broader picture of the field than from just sticking to our usual tracks. Once again, thank you to all the participants for the great discussions!
Organizers
- Barbara Plank (Professor, ITU)
- Veronika Cheplygina (Associate Professor, ITU)
- Christian Hardmeier (Associate Professor, ITU)
- Carolin Lawrence, PhD (Senior Machine Learning Research Scientist at NEC)
- Elisa Bassignana (PhD Student, ITU)
- Max Müller-Eberstein (PhD Student, ITU)
- Mike Zhang (PhD Student, ITU)