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Found 3 papers, 2 papers with code
ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective
Understanding perspectival language is important for applications like dialogue systems and human-robot interaction.
Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input
Geo-entity linking is the task of linking a location mention to the real-world geographic location.
Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties
The study of language variation examines how language varies between and within different groups of speakers, shedding light on how we use language to construct identities and how social contexts affect language use.
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