Annotated Semantic Predications from SemMedDB

Vasilakes, Jake A
Rizvi, Rubina
Zhang, Rui
2018-03-27
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https://doi.org/10.13020/D6S38M
 https://hdl.handle.net/11299/194965
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Annotated Semantic Predications from SemMedDB

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2018-03-27

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University of Minnesota Institute for Health Informatics, Natural Language Processing / Information Extraction (NLP/IE) Program

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Zhang, Rui
zhan1386@umn.edu

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Abstract

This data was collected from the Semantic MEDLINE Database (SemMedDb) ver 30, December 2016 release. It contains sentences, subject/object entity information, and predicate information as output by SemRep. It also contains annotations indicating whether each semantic predication is indeed expressed in the sentence. The data was used for the paper "Evaluating Active Learning Methods for Annotating Semantic Predications Extracted from MEDLINE", the associated manuscript is under review.

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When using this data, please cite the original publication:
Vasilakes J, Rizvi R, Melton G, Pakhomov S, Zhang R. Evaluating Active Learning Methods for Annotating Semantic Predications Extracted from MEDLINE. Journal of American Medical Informatics Association Open. 2018:1(2):275-282.
https://doi.org/10.1093/jamiaopen/ooy021

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Data Repository for U of M (DRUM)

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National Center for Complementary & Integrative Health Award (#R01AT009457) (Zhang)
Agency for Healthcare Research & Quality Grant (#1R01HS022085) (Melton)
National Center for Advancing Translational Science (#U01TR002062) (Liu/Pakhomov/Jiang)

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Vasilakes, Jake A; Rizvi, Rubina; Zhang, Rui. (2018). Annotated Semantic Predications from SemMedDB. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6S38M.

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README.txt
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annotated_predications.csv
Annotated Semantic Predications
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