This list is not complete and is more of a reflection of my own interests.

High-level overview of the field

Follow my Twitter list that should (hopefully) include all active language grounding researchers on Twitter.

You might not believe it, but some people are not on Twitter and that's fine. So to complement this list, I collected a list of Non-twitter grounding researchers, which are not on Twitter or well-hidden.

If you enjoyed reading Motivation: Why Language Grounding? and have no clue about language grounding otherwise, check these resources out:

• Experience Grounds Language
• Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
• Extending Machine Language Models toward Human-Level Language Understanding
• Lecture: Lecture 10 – Grounding | Stanford CS224U: Natural Language Understanding | Spring 2019

Learning vision-and-language representations

Now if you want to get deeper, there are many ways. A good starting point for someone who already understands pure language models, is to look at vision-and-language Transformer models:

• VilBERT
• Vokenization

More

Temporal Grounding

Grounded Commonsense

RoboNLP

Dialogue