Unsupervised Language Learning - Linas Vespas
388 views · Published 8 February 2017 · 1:13:56 · Indexed 24 October 2026
Channel: Science, Technology & the Future · 2017 · Science & Technology
A novel approach to the fully automated, unsupervised extraction of dependency grammars and associated syntax-to-semantic-relationship mappings from large text corpora is described. The suggested approach builds on the authors' prior work with the Link Grammar, RelEx and OpenCog systems, as well as on a number of prior papers and approaches from the statistical language learning literature. If successful, this approach would enable the mining of all the information needed to power a natural language comprehension and generation system, directly from a large, unannotated corpus. Paper: https://arxiv.org/abs/1401.3372 Hong Cogathon was held at Robotics Garage Dec 2016 http://wiki.opencog.org/w/Hong_Cogathon_Dec_2016 Many thanks for watching! Consider supporting me by: a) Subscribing to my YouTube channel: http://youtube.com/subscription_center?add_user=TheRationalFuture b) Donating via Patreon: https://www.patreon.com/scifuture and/or c) Sharing the media I create Kind regards, Adam Ford - Science, Technology & the Future: http://scifuture.org
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