arXiv Open Access 2020

Experience Grounds Language

Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio +7 lainnya

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Abstrak

Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates. Despite the incredible effectiveness of language processing models to tackle tasks after being trained on text alone, successful linguistic communication relies on a shared experience of the world. It is this shared experience that makes utterances meaningful. 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-only corpora requires the parallel tradition of research on the broader physical and social context of language to address the deeper questions of communication.

Topik & Kata Kunci

cs.CL cs.AI cs.LG

Penulis (12)

Yonatan Bisk

Ari Holtzman

Jesse Thomason

Jacob Andreas

Yoshua Bengio

Joyce Chai

Mirella Lapata

Angeliki Lazaridou

Jonathan May

Aleksandr Nisnevich

Nicolas Pinto

Joseph Turian

Format Sitasi

APA MLA BibTeX

Bisk, Y., Holtzman, A., Thomason, J., Andreas, J., Bengio, Y., Chai, J. et al. (2020). Experience Grounds Language. https://arxiv.org/abs/2004.10151

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓