Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context

Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context

A robot's ability to understand or ground natural language instructions is fundamentally tied to its knowledge about the surrounding world. We present an approach to grounding natural language utterances in the context of factual information gathered through natural-language interactions and pa...

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Bibliographic Details
Main Authors: Paul, Rohan (Contributor), Barbu, Andrei (Contributor), Felshin, Sue (Author), Katz, Boris (Contributor), Roy, Nicholas (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: International Joint Conferences on Artificial Intelligence, 2018-05-30T17:00:38Z.
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