**Organizers:** Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O’Gorman, Martha Palmer This tutorial reviews the design of common meaning representations, SoTA models for predicting meaning representations, and the applications of meaning representations in a wide range of downstream NLP tasks and real-world applications. Reporting by a diverse team of NLP researchers from academia and industry with extensive experience in designing, building and using meaning representations, our tutorial has three components: (1) an introduction to common meaning representations, including basic concepts and design challenges; (2) a review of SoTA methods on building models for meaning representations; and (3) an overview of applications of meaning representations in downstream NLP tasks and real-world applications. We will also present qualitative comparisons of common meaning representations and a quantitative study on how their differences impact model performance. Finally, we will share best practices in choosing the right meaning representation for downstream tasks. 

**RocketChat channel for this tutorial:** https://emnlp2022.rocket.chat/channel/tutorial-1

T1 Meaning Representations for Natural Languages: Design, Models and Applications

 **Organizers:** Idris Abdulmumin, Shamsuddeen Hassan Mohammed and Nedjma Ousidhoum

BoF: Challenges in Hate Speech Detection for African Languages

BoF: Biomedical NLP

BoF: Language Models

**Chair:** Chung-Chi Chen **Organizers:** Hsin-Hsi Chen, Hiroya Takamura, Hen-Hsen Huang and Chung-Chi Chen Please visit our [**website**](https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/) for more information and detailed schedule.

**RocketChat channel for this workshop:** https://emnlp2022.rocket.chat/channel/workshop-16-finnlp

W16 (FinNLP) The Fourth Workshop on Financial Technology and Natural Language Processing

Opening + Keynote 1: Dr. Neil Cohn

**Topics:** Model Inspection
 Evaluation

Demo Session 1 Model inspection & Evaluation

O1 Resources and Evaluation 1

O2 NLP Application 1

**Chairs:**  Amar Prakash Azad and Shashi Narayan (remote) 

O3 Natural Language Generation 1

## Welcome to EMNLP 2022!
I am delighted to welcome you to EMNLP 2022! I believe this conference has been complicated beyond any precedent. Over the past year, it’s been thrilling to see the organization team approach each new puzzle with creativity and enthusiasm. We hope that those participating in Abu Dhabi as well as those joining remotely will leave the conference feeling newly inspired by the program and newly connected to our ever-growing community. Following EMNLP 2021 and major NLP conferences since, EMNLP 2022 is “hybrid,” serving both virtual and in-person participants.

Our key innovations for EMNLP 2022 include:

* EMNLP 2022 is “hybrid” in a second sense, as well: we allowed both direct and rolling review paper submissions, building on the pilot experiment of EMNLP 2021, which considered a small number of ARR submissions. 
* Familiar from NAACL but new to EMNLP, we’ve added an industry track.
* During the conference, “portals” will link virtual poster sessions to in-person conference participants during poster sessions each day.
* The first ACL-family conference in the United Arab Emirates.

 *Message from Noah A. Smith, University of Washington and Allen Institute for AI, Seattle, Washington, USA* 
***EMNLP 2022 General Chair***
 
[![](https://assets.underline.io/uploads/markdown_image/1/image/9eec7d4a287ee18c278b08229290aa83.png)](https://drive.google.com/file/d/1OlPv6QBeo62VVTughj2jkiLeyHd1WnUt/view)
 
[![](https://assets.underline.io/uploads/markdown_image/1/image/a3db7a768409f05192210d98601edb25.png)](https://emnlp2022.rocket.chat/)

To access this site you need to register. Please register [here](https://2022.emnlp.org/registration/).

Register here

EMNLP 2022

Welcome!
EMNLP 2022 will take place in Abu Dhabi from December 7th to December 11th, 2022. And it will be held in hybrid mode, both online and offline.

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