MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction-Reference-Cited by-同舟云学术

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Yang Jie¹^ORCID,Han Soyeon Caren²^ORCID,Long Siqu¹^ORCID,Poon Josiah¹^ORCID,Nenadic Goran³^ORCID

Affiliation:

1. The University of Sydney, Sydney, NSW, Australia

2. The University of Western Australia, Perth, WA, Australia

3. The University of Manchester, Manchester, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615190

Reference26 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

2. Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning

3. Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings

4. An Effective Transition-based Model for Discontinuous NER

5. Bharath Dandala Venkata Joopudi Ching-Huei Tsou Jennifer J Liang Parthasarathy Suryanarayanan etal 2020. Extraction of information related to drug safety surveillance from electronic health record notes: Joint modeling of entities and relations using knowledge-aware neural attentive models. JMIR medical informatics Vol. 8 7 (2020) e18417. Bharath Dandala Venkata Joopudi Ching-Huei Tsou Jennifer J Liang Parthasarathy Suryanarayanan et al. 2020. Extraction of information related to drug safety surveillance from electronic health record notes: Joint modeling of entities and relations using knowledge-aware neural attentive models. JMIR medical informatics Vol. 8 7 (2020) e18417.