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24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method episode artwork

EPISODE · Jun 27, 2017 · 16 MIN

24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

from NLP Highlights · host Allen Institute for Artificial Intelligence

ACL 2016 outstanding paper, by Vered Shwartz, Yoav Goldberg and Ido Dagan. Waleed presents this paper, discussing hypernymy detection and the methods used in the paper. It's pretty similar to work in relation extraction and knowledge base completion, so we also talk a bit about connections to other methods we're familiar with. Encoding paths using an RNN like they do (and like Arvind Neelakantan did for KBC) improves recall substantially, at the cost of some precision, which makes intuitive sense. https://www.semanticscholar.org/paper/Improving-Hypernymy-Detection-with-an-Integrated-P-Shwartz-Goldberg/05d28e891fd70d123c46ceeb0cdfc0a2cb0d88db

Episode metadata supplied by the publisher feed · Published Jun 27, 2017

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24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

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