Dear all,
It is our great pleasure to invite you to the second edition of multilingual representation learning that will be held at EMNLP 2022 (as a hybrid WS) on December 8, 2022. The details regarding the paper submission and the shared task are given below:
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IMPORTANT DATES
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*- Latest ARR deadline for paper submissions: September 1, 2022*
- The last ARR commitment deadline: October 15, 2022
- Paper notifications: November 2, 2022
- Camera-Ready Papers due: November 9, 2022
- Main Conference: December 7-11, 2022
*- Workshop: December 8, 2022*
(All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”))
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AIMS AND SCOPE
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The 2nd MRL Workshop invites participants to share and discuss recent findings on multi-lingual representation learning methods and their application in different settings. The main objectives of the workshop will be:
To construct and present a wide array of multi-lingual 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 allowing a communication means for research groups working on machine learning, linguistic typology, or real-life applications of NLP tasks in various languages, to share and discuss their recent findings, our ultimate goal is to support rapid development of NLP methods and tools that are applicable to a wider range of languages.
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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 only accepts submissions made to the ACL Rolling Review.
Extended abstracts:
Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our non-archival extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. Extended abstracts can be submitted to the workshop submission system using the softconf link: https://softconf.com/emnlp2022/mrl-2022 https://urldefense.proofpoint.com/v2/url?u=https-3A__softconf.com_emnlp2022_mrl-2D2022&d=DwMFAw&c=slrrB7dE8n7gBJbeO0g-IQ&r=D7GY00VlcDnAofhBOSSQzw&m=ZUu_JZFfVc3wZz8sjZw2I_S19xEAaHkS6M_IoFef-T8d-Z3OVRlKV8ewZlNxkDfT&s=BARKYtmq_ssImEKnLKfzYiBwvVF3gX9BTZZTMi5TGvI&e= .
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Shared Task
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MRL 2022 features a new shared task on Multilingual Clause-level Morphology, which aims to provide a new evaluation benchmark for assessing multilingual representation learning models in terms of linguistic and cross-lingual generalization capabilities. We invite all interested peers in getting in touch about participation following the website https://sigtyp.github.io/st2022-mrl.html and mailing list participants-mcmsharedtask-2022@googlegroups.com. We anticipate awarding a prize for the shared task winning team and a presentation devoted to them.
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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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Ev Fedorenko, Massachusetts Institute of Technology
Kyunghyun Cho, New York University
Razvan Pascanu, DeepMind
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*Contact *
Email: mrlw2022@gmail.com
Website: https://sigtyp.github.io/ws2022-mrl.html
*Organizers: *
Duygu Ataman
Orhan Firat
Hila Gonen
Jamshidbek Mirzakhalov
Kelechi Ogueji
Sebastian Ruder
Gözde Gül Şahin
On behalf of the organization committee,
--------------------------- Gözde Gül Şahin Assistant Professor Computer Engineering Department Koç University https://gozdesahin.github.io/