About This Document
- sl:arxiv_author :
- sl:arxiv_firstAuthor : Yonatan Bisk
- sl:arxiv_num : 2004.10151
- sl:arxiv_published : 2020-04-21T16:56:27Z
- sl:arxiv_summary : Successful linguistic communication relies on a shared experience of the
world, and it is this shared experience that makes utterances meaningful.
Despite the incredible effectiveness of language processing models trained on
text alone, today's best systems still make mistakes that arise from a failure
to relate language to the physical world it describes and to the social
interactions it facilitates.
Natural Language Processing is a diverse field, and progress throughout its
development has come from new representational theories, modeling techniques,
data collection paradigms, and tasks. We posit that the present success of
representation learning approaches trained on large text corpora can be deeply
enriched from the parallel tradition of research on the contextual and social
nature of language.
In this article, we consider work on the contextual foundations of language:
grounding, embodiment, and social interaction. We describe a brief history and
possible progression of how contextual information can factor into our
representations, with an eye towards how this integration can move the field
forward and where it is currently being pioneered. We believe this framing will
serve as a roadmap for truly contextual language understanding.@en
- sl:arxiv_title : Experience Grounds Language@en
- sl:arxiv_updated : 2020-04-21T16:56:27Z
- sl:bookmarkOf : https://arxiv.org/abs/2004.10151
- sl:creationDate : 2020-04-22
- sl:creationTime : 2020-04-22T16:52:37Z
- rdf:type : sl:ArxivDoc
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