ACL20: Second Grand-Challenge and Workshop on Multimodal Language

Second Grand-Challenge and Workshop on Multimodal Language (Challenge-HML)
Website: http://multicomp.cs.cmu.edu/acl2020multimodalworkshop/

Important Dates :
Paper Deadline: April 25th (Workshop) and May 1st (Grand-Challenge)
Grand challenge data release: Feb 15th
Notification of Acceptance: May 9th
Camera-ready: May 21st
Workshop location: ACL 2020, Seattle, USA
**All deadlines @11:59 pm anywhere on the planet - year 2020)**

Keynotes:
Rada Mihalcea – University of Michigan (USA)
Ruslan Salakhutdinov – Carnegie Mellon University (USA)
M. Ehsan Hoque – University of Rochester (USA)

Sponsored by:
National Science Foundation (NSF)
Intel

The ACL 2020 Second Grand-Challenge and Workshop on Multimodal Language (ACL 2020) offers a unique opportunity for interdisciplinary researchers to study and model interactions between modalities of language, vision, and acoustic. Modeling multimodal language is a growing research area in NLP. This research area pushes the boundaries of multimodal learning and requires advanced neural modeling of all three constituent modalities. Advances in this research area allow the field of NLP to take the leap towards better generalization to real-world communication (as opposed to limitation to textual applications), and better downstream performance in Conversational AI, Virtual Reality, Robotics, HCI, Healthcare, and Education.
There are two tracks for submission: Grand-challenge and Workshop (workshop allows archival and non-archival submissions). Grand-Challenge is focused on multimodal sentiment and emotion recognition on CMU-MOSEI (grand-prize of >$1k in value for the winner) and MELD dataset. The workshop accepts publications in the below listed research areas. Archival track will be published in ACL workshop proceedings and non-archival track will be only presented during the workshop (but not published in proceedings). We invite researchers from NLP, Computer Vision, Speech Processing, Robotics, HCI, and Affective Computing to submit their papers.

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.

We accept the following types of submissions:
Grand challenge papers are 6-8 pages, including infinite references.
Full and short workshop papers 6-8 and 4 pages respectively with infinite references.
Submission must be formatted according to ACL 2020 style files: https://acl2020.org/calls/papers/#paper-submission-and-templates

Workshop Organizers
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)
Soujanya Poria (Singapore University of Technology and Design)