Adapting natural language processing for technical text

Adapting natural language processing for technical text

Abstract Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics, and large computational resource requirem...

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Bibliographic Details
Main Authors: Alden Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael P. Brundage
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Applied AI Letters
Subjects:
domain adaptation
maintenance records
natural language processing
technical data
technical language processing
Online Access:https://doi.org/10.1002/ail2.33

Internet

https://doi.org/10.1002/ail2.33

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