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Old Age
Word Embeddings for Chemical Patent Natural Language Processing
October 24, 2020 ยท Declared Dead ยท ๐ LatinX in AI at International Conference on Machine Learning 2020
"No code URL or promise found in abstract"
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Authors
Camilo Thorne, Saber Akhondi
arXiv ID
2010.12912
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
5
Venue
LatinX in AI at International Conference on Machine Learning 2020
Last Checked
4 months ago
Abstract
We evaluate chemical patent word embeddings against known biomedical embeddings and show that they outperform the latter extrinsically and intrinsically. We also show that using contextualized embeddings can induce predictive models of reasonable performance for this domain over a relatively small gold standard.
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