We expect to receive submissions and lead discussions on the topics of novel analytic methods, tools, and datasets associated with a broader objective of knowledge-infused learning, including but not limited to the following research directions

• Shallow, semi-deep or deep infusion of Knowledge into Deep Learning
• Human-allied Probabilistic Learning
• Knowledge graph enhanced Natural language Processing tasks such as Question Answering, and Natural Language Inference
• K-iL enhanced Virtual Assistants/Conversational Systems, Human-Computer Interaction
• Knowledge Graph enhanced optimization for real-world applications (e.g. Social Good, Finance, Education, Healthcare)
• Interpretability and explainability afforded by K-iL
• Languages and models for knowledge graph representation
• Knowledge graph enabled Reinforcement Learning agents
• Commonsense Reasoning using Knowledge Graphs

We invite the submission of full research papers (9 pages including references) and short papers (6 pages including references). Additionally, invited speakers may submit an invited paper that the organization will review and comment on.

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this workshop. All submissions should be double-blind and use CEUR-WS Latex Template for formatting. A high-resolution PDF of the paper should be uploaded to the EasyChair submission site before the paper submission deadline.

All papers will be peer-reviewed and single-blinded. Authors of Accepted papers will have the opportunity to present, will be published online and will not be considered archival.

• Paper Submission: April 01, 2021 (23:59, anywhere on earth). EasyChair paper submission system is here
• Author Notification: April 18, 2021
• Camera-ready Papers Due: April 28, 2021
• Workshop Day: May 04, 2021