Ireland

ACL 2022

Zero- and Few-Shot NLP with Pretrained Language Models Part 1

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
We wish you a wonderful conference! 
[**The ACL 2022 Organizing Committee**](https://www.2022.aclweb.org/organisers)
 
[**Conference Handbook**](https://drive.google.com/file/d/1_BUCMfhMVrjG9E2e71aHdHeE28KSje0l/view?usp=sharing) 
[**Mini Handbook**](https://drive.google.com/file/d/1qlBKl0wzmlVF1oCeMQl3BahLd9nLP5Ce/view?usp=sharing) 
[**Posters and Demo guides**](https://drive.google.com/file/d/1UucMAoCNncIOaH1rMMDa0owuG9qgvJTG/view?usp=sharing)

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

tutorial

Emily M. Bender

Zero- and Few-Shot NLP with Pretrained Language Models Part 2

FEVER: Fifth Workshop on Fact Extraction and VERification

Towards Reproducible Machine Learning Research in Natural Language Processing: Introduction to Reproducibility

Towards Reproducible Machine Learning Research in Natural Language Processing: Reproducibility in NLP

Towards Reproducible Machine Learning Research in Natural Language Processing: Mechanisms for Reproducibility

Towards Reproducible Machine Learning Research in Natural Language Processing: Reproducibility as a Teaching Tool

Knowledge-Augmented Methods for Natural Language Processing: Motivation and Introduction of Knowledge in NLP

Knowledge-Augmented Methods for Natural Language Processing: Knowledge in Natural Language Understanding

Knowledge-Augmented Methods for Natural Language Processing: Knowledge in Natural Language Generation

workshop paper

https://d3smihljt9218e.cloudfront.net/transcript/35823/subtitle/90e90506700536e22bdfcac08dfb99a7.vtt

English (automatic)

Zero- and Few-Shot NLP with Pretrained Language Models Part 1

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Zero- and Few-Shot NLP with Pretrained Language Models Part 1

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