ACL2021 Workshop




Third Workshop on Multimodal Artificial Intelligence
ACL 2021
Location: TBD
Date: TBD



Sponsored by: NSF and Intel


We hope everyone and their loved ones are staying safe during the COVID-19 pandemic. We are closely watching the current situation, and will update the location accordingly. 



[10/14/2020] Workshop page is published. Submission template can be downloaded here (identical to ACL 2021): download zip, access overleaf


Table of Contents

1. Keynotes
2. Scope and Related Areas
3. Workshop Track
4. Grand-Challenge Track
5. Workshop Schedule
6. Organizing Committee



Scope and Related Areas

  • • Neural Modeling of Multimodal Language
  • • Multimodal Dialogue Modeling and Generation
  • • Multimodal Sentiment Analysis and Emotion Recognition
  • • Language, Vision and Speech
  • • Multimodal Artificial Social Intelligence Modeling
  • • Multimodal Commonsense Reasoning
  • • Multimodal RL and Control (Human-robot communication and multimodal language for robots)
  • • Multimodal Healthcare
  • • Multimodal Educational Systems
  • • Multimodal Affective Computing
  • • Multimodal Fusion and Alignment
  • • Multimodal Representation Learning
  • • Multimodal Sequential Modeling
  • • Multimodal Co-learning and Transfer Learning
  • • Multimodal Active Learning
  • • Multimodal and Multimedia Resources
  • • Creative Applications of Multimodal Learning in E-commerce, Art, and other Impactful Areas.


Workshop Track


Archival Track: Workshop papers are either full (8 pages) or short (4 pages) papers with infinite references. The formatting instructions are identical to ACL 2021 paper format. ACL guidelines suggest papers should be self-contained, with high presentation quality and properly compared to previous works. Publications related to all areas above are welcome to submit a paper. The submission should have at least two modalities present in their experiments (i.e. works should be related to multimodal learning). The workshop track encourages creative applications of multimodal learning, over new or understudied datasets.

All accepted papers will be presented during poster sessions at the workshop. Selected papers will also be invited as contributed talks. All the papers (full or short) will be indexed as part of the ACL 2021 workshop proceedings. All submitted material should be considered novel at the time of submission. Further results and experiments on existing works is also acceptable for submission.

Submission template: download zip, access overleaf.

Non-archival Track: The workshop also includes a non-archival track to allow submission of previously published papers and double submissions to other conferences or journals. Accepted non-archival papers will still be presented as posters or talks at the workshop. There are no formatting or page restrictions for non-archival submissions. The accepted papers to the non-archival track will be displayed on the workshop website, but will NOT be included in the ACL 2021 Workshop proceedings or otherwise archived.

Grand-Challenge Track


Important Dates


**All deadlines @11:59 pm anywhere on Earth – year 2020)**



Organizing Committee

Amir Zadeh – Language Technologies Institute, Carnegie Mellon University
Louis-Philippe Morency – Language Technologies Institute, Carnegie Mellon University
Paul Pu Liang – Machine Learning Department, Carnegie Mellon University
Candace Ross – Massachusetts Institute of Technology
Ruslan Salakhutdinov – Carnegie Mellon University
Erik Cambria – Nanyang Technological University
Kelly Shi – Carnegie Mellon University