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...
| Main Authors: | , , , , |
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| Format: | Article |
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International Joint Conferences on Artificial Intelligence
2018
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| Online Access: | http://hdl.handle.net/1721.1/115972 https://orcid.org/0000-0002-9693-2237 https://orcid.org/0000-0001-7626-9266 https://orcid.org/0000-0002-8293-0492 |