Jul 4, 2018 · We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key ...
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This work presents a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language, and demonstrates ...
Jul 5, 2018 · We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key ...
Sep 12, 2024 · We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key ...
We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key contributions are a ...
We present a system capable of capturing the semantics of spatial relations such as behind, left of, etc from natural language. Our key contributions are a ...
Mar 14, 2023 · Spatial Cognition in Natural-Language ... encode mental representations of emergent spatial relationships between items in narrated worlds.
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Sep 28, 2022 · Datasets used to train Spatial Language Integrating Model (SLIM) in the 'Encoding Spatial Relations from Natural Language' paper.
Oct 31, 2023 · However, natural language is essentially a way of encoding information and knowledge. Thus, the focus should be on what is encoded and how ...
🌍⏳ Do LMs Represent Space and Time? - by Sebastian Ruder
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Oct 9, 2023 · We'll look at how spatial and temporal information has been encoded in LMs, what this means for practical applications, as well as other aspects ...