NLP News

By Sebastian Ruder

Regular analyses of cutting-edge developments in natural language processing and machine learning. (Mostly) human generated.

Previous issues

EACL, ICLR, NAACL papers round-up, Research reality checks, ML on code

#59 May 4, 2021

ICLR 2021 Outstanding Papers, Char Wars, Speech-first NLP, Virtual conference ideas

#58 Apr 6, 2021

QA—how did we get here? 🙋‍♀️, Adapting to time ⏳, Data detectives 🕵️‍♀️

#57 Mar 23, 2021

#56

Feb 15, 2021

IE—how did we get here?, Large LMs, The human side of ML – Hi all,I hope you've had a good start to the new year. This newsletter is a bit delayed due to a conf
#55

Dec 23, 2020

EMNLP 2020 recap, Minimum viable datasets, Efficiency, Roguelikes for RL Research – Hi all,I sincerely hope that this year was an extreme outlier and that 2021 will be again more in-dis
#54

Nov 13, 2020

EMNLP 2020 & ICLR 2021, Toxicity detection, Data augmentation and adversarial examples – Hi all,With EMNLP 2020 coming up next week and ICLR 2021 reviews just out, this newsletter contains a
#53

Oct 13, 2020

ML and NLP starter toolkit, Low-resource NLP toolkit, "Can a LM understand natural language?", The next generation of NLP benchmarks – Hi all,It has been a while... I hope you're doing well in these crazy and strange times.COVID-19 has
#52

Jun 5, 2020

Reviewing, Taking stock, Theme papers, Poisoning and stealing models, Multimodal generation – Hi all,This newsletter took somewhat longer than usual. This is both due to lower energy ⚡️on my side
#51

Apr 15, 2020

COVID-19 edition 😷 – Hi all,I hope you're all staying safe in these trying times. 🤒 This is a shorter version of the usual
#50

Mar 27, 2020

COVID-19, Hutter Prize, Compression = AGI?, BERT, Green AI – Hi all,This newsletter is a bit delayed due to some adjustments in light of the ongoing coronavirus p
#49

Feb 25, 2020

Accelerating science, memorizing vs learning to look things up, Schmidhuber's 2010s, Greek BERT, ARC, Illustrated Reformer, Annotated GPT-2, oLMpics – Hi all,This newsletter discusses accelerating science, memorizing vs learning to look things up, and
#48

Jan 27, 2020

NLP Progress, Restrospectives and look ahead, New NLP courses, Independent research initiatives, Interviews, Lots of resources – Happy 2020 everyone 🎉! May your models be sample-efficient, your generalisation error be low, and you
#47

Dec 23, 2019

2020 NLP wish lists, HuggingFace + fastai, NeurIPS 2019, GPT-2 things, Machine Learning Interviews – Happy holidays everyone! 🕯🎄🕎I hope you all had a fantastic year. The last newsletter of 2019 conclude
#46

Nov 19, 2019

Highlights of EMNLP 2019, Ethics in NLP vol. 2, AI and Journalism – Hi all,The themes of this newsletter are highlights from EMNLP 2019, ethical uses of NLP, and AI and
#45

Oct 22, 2019

Deep Learning Indaba, EurNLP, ML echo chamber, Pretrained LMs, Reproducibility papers – Hi all,This month features updates about recent events (ICLR 2020 submissions, Deep Learning Indaba,
#44

Sep 16, 2019

Experimental results and error reporting, Ethics and NLP, Distillation vol. 2, SemEval 2020 – Hi all,This edition is about better ways to report experimental results and model errors, ethics and
#43

Aug 21, 2019

Bigger vs. smaller models, powerful vs. dumb models – Hi all,The theme of this newsletter are juxtapositions: training ever bigger models (GPT-8 8B) vs. ma
#42

Jul 22, 2019

NLP in Industry, Leaderboard madness, fast.ai NLP, Transfer learning tools – Hi all,This month's newsletter covers some cool examples of how NLP is used in industry, some discuss
#41

Jun 24, 2019

BERT, GPT-2, XLNet, NAACL, ICML, arXiv, EurNLP – Hi all,A lot has been going on in the past month. This newsletter contains new stuff about BERT, GPT-
#40

May 20, 2019

Marvel, Stanford & CMU NLP Playlists, Voynich, Bitter Lesson Vol. 2, ICLR 2019, Dialogue Demos – Hi all,There should be something for everyone in this newsletter. NLP and superheroes team up. We hav

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