Targeting precision: A hybrid scientific relation extraction pipeline for improved scholarly knowledge organization
Author:
Affiliation:
1. University of Illinois at Urbana‐Champaign Champaign Illinois USA
2. TIB Leibniz Information Centre for Science and Technology and L3S Research Center at Leibniz University of Hannover Hannover Germany
Publisher
Wiley
Subject
Library and Information Sciences,General Computer Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.303
Reference15 articles.
1. Abacha A. B. &Zweigenbaum P.(2011).A hybrid approach for the extraction of semantic relations from medline abstracts. InInternational Conference on Intelligent Text Processing and Computational Linguistics(pp. 139–150). Springer.
2. Toward an open knowledge research graph;Auer S.;The Serials Librarian,2019
3. Beltagy I. Cohan A. &Lo K.(2019).Scibert: Pretrained contextualized embeddings for scientific text.arXiv preprint arXiv:1903.10676.
4. Pattern Recognition and Machine Learning
5. RelEx--Relation extraction using dependency parse trees
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