Ireland

ACL 2022

Knowledge-Augmented Methods for Natural Language Processing: Commonsense Knowledge and Reasoning for NLP

# 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

Non-Autoregressive Sequence Generation - Introduction

Non-Autoregressive Sequence Generation - Methods

Non-Autoregressive Sequence Generation - Applications

Zero- and Few-Shot NLP with Pretrained Language Models - Introduction 

Zero- and Few-Shot NLP with Pretrained Language Models - Prompting & In-context learning

Zero- and Few-Shot NLP with Pretrained Language Models - Gradient-based LM task adaptation

Zero- and Few-Shot NLP with Pretrained Language Models - Evaluation and benchmarks 

Zero- and Few-Shot NLP with Pretrained Language Models - Meta-training

Zero- and Few-Shot NLP with Pretrained Language Models -  Pretraining considerations for zero/few-shot

Vision-Language Pretraining:  Current Trends and the Future: Vision-language landscape before the pretraining era

https://d3smihljt9218e.cloudfront.net/transcript/35844/subtitle/97e90c0f6c565cab6d3873c3ff6d8e00.vtt

English (automatic)

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