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1st Workshop on Multilingual Representation Learning (MRL) at EMNLP
November 11, 2021
https://sites.google.com/view/mrl-2021/home
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IMPORTANT DATES
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- Deadline for papers submission: August 27, 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”))
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IMPORTANT LINKS
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Style and formatting: EMNLP 2021 Style Files and Formatting
Submission site: https://www.softconf.com/emnlp2021/MRL/user/
Submission instructions: https://sites.google.com/view/mrl-2021/call-for-papers
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AIMS AND SCOPE
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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 tasks
-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
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SUBMISSIONS
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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.
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Best Paper Award
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A Best Paper Award will be presented at the workshop.
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Invited Speakers
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Graham Neubig, Carnegie Mellon University
Yulia Tsvetkov, University of Washington
Melvin Johnson, Google Research
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ORGANIZERS and PROGRAM COMMITTEE
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https://sites.google.com/view/mrl-2021/organizers-and-pc
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CONTACT DETAILS
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MRL21 Organizing Committee: mrlworkshop2021 [at] gmail.com