[Corpora-List] CfP: 1st Workshop on Multilingual Representation Learning at EMNLP 2021

Gozde Gul goezde.guel at googlemail.com
Mon Jul 19 17:20:03 CEST 2021


1st Workshop on Multilingual Representation Learning at EMNLP 2021

MRL 2021

November 11






- Deadline for papers submission: August 5, 2021

- Notification to authors: September 5, 2021

- Camera-Ready Papers due: September 15, 2021

- Main Conference: November 7-9, 2021

- Workshop: November 11, 2021

(All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”))




Style and formatting: EMNLP 2021 Style Files and Formatting <https://2021.emnlp.org/call-for-papers/style-and-formatting>

Submission site: https://www.softconf.com/emnlp2021/MRL/user/

Submission instructions: https://sites.google.com/view/mrl-2021/call-for-papers




The main objectives of the workshop are:


To construct and present a wide array of multilingual representation

learning methods, including their theoretical formulation and analysis,

practical aspects such as the application of current state-of-the-art

approaches in transfer learning to different tasks or studies on adaptation

into previously under-studied context;


To provide a better understanding on how the language typology may

impact the applicability of these methods and motivate the development of

novel methods that are more generic or competitive in different languages;


To promote collaborations in developing novel software libraries or

benchmarks in implementing or evaluating multi-lingual models that would

accelerate progress in the field.

By fostering a new community composed of research groups working on machine learning, linguistic typology, or real-life applications of NLP tasks in various languages, our ultimate goal is to support rapid development of NLP methods and tools that are applicable to a wider range of languages.

Topics of interest include, but are not limited to:


Understanding the learning dynamics of multi-lingual representation

learning methods


Multilingual pretraining for discriminative and generative downstream



Probing and analysis of multilingual representations


New methods for multi-lingual representation learning


New approaches to language adaptation of NLP systems


Zero-shot and few-shot learning for multilingual NLP


Investigating and understanding transfer learning methods for adaptation

of NLP systems into previously under-studied languages, such as

morphologically-rich languages


Data sets, benchmarks or libraries for implementing and evaluating

multi-lingual models



---------------------- Research papers:

We invite all potential participants to submit their novel research contributions in the related fields as long papers following the EMNLP 2021 long paper format (anonymized with 8 pages excluding the references, and an additional page for the camera-ready versions for the accepted papers). All accepted research papers will be published as part of our workshop proceedings and presented either as oral or poster presentations.

Our research paper track encourages concurrent submissions, submissions made to the ACL Rolling Review and papers published on the arxiv.org or other mediums as long as the submitted contribution is not included in any formal conference or workshop proceedings. Extended abstracts:

Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. The accepted extended abstracts will be included in the workshop as poster presentations.


Best Paper Award


A Best Paper Award will be presented at the workshop.


Invited Speakers


Graham Neubig, Carnegie Mellon University

Yulia Tsvetkov, University of Washington

Melvin Johnson, Google Research








MRL21 Organizing Committee : mrlworkshop2021 at gmail.com

*On behalf of the MRL 2021 Organizers*


Gözde Gül Şahin Postdoctoral Researcher Ubiquitous Knowledge Processing (UKP) Lab FB 20 / Department of Computer Science Technische Universitšt Darmstadt Hochschulstr. 10, 64289 Darmstadt, Germany fax +49 (0)6151 16-25299, room S2|02|B117 https://www.ukp.tu-darmstadt.de -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 32842 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20210719/a98589b5/attachment.txt>

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