Organizers:
- David Ifeoluwa Adelani
- Duygu Ataman
- Mammad Hajili
- Raghav Mantri
- Abraham Owodunni
- Jonne Saleva
- David Strap
- Francesco Tinner
Invited Speakers:
- Karen Livescu, Toyota Technological Institute at Chicago
- Sebastian Ruder, Cohere
IMPORTANT DATES
- Sep. 7, 2024: Paper Due Date
- Sep. 20, 2024: Notification of Acceptance
- Oct. 3, 2024: Camera-ready papers due
- Nov. 15-16, 2024: Workshop
- Nov. 12-16, 2024: Main conference
- Jonne Saleva
- David Strap
- Francesco Tinner
(All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”))
AIMS AND SCOPE
The 4th 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 are:
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.
Our ultimate goal is to support rapid development of NLP methods and tools that are applicable to a wider range of languages. By offering a medium of communication 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.
SUBMISSIONS
Research papers:
We invite all potential participants to submit their novel research contributions in the related fields as long papers following the EMNLP 2024 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 will be presented either through oral presentations or poster sessions.
Our research paper track will accept submissions through our own submission system available at
https://openreview.net/group?id=EMNLP/2024/Workshop/MRL
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 openreview link.
Shared Task
MRL 2024 features a shared task on Multi-task Multi-lingual Information Retrieval, which aims to provide a new evaluation benchmark for assessment of large scale representation learning models in a diverse set of under-represented languages. We invite all interested peers in getting in touch about participation by joining mrl-2024@googlegroups.com [at] googlegroups.com and following the website at https://sigtyp.github.io/st2024-mrl.html