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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
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Wang, Qingyun; Li, Manling; Wang, Xuan; Parulian, Nikolaus; Han, Guangxing; Ma, Jiawei; Tu, Jingxuan; Lin, Ying; Zhang, Haoran; Liu, Weili; Chauhan, Aabhas; Guan, Yingjun; Li, Bangzheng; Li, Ruisong; Song, Xiangchen; Fung, Yi R.; Ji, Heng; Han, Jiawei; Chang, Shih-Fu; Pustejovsky, James; Rah, Jasmine; Liem, David; Elsayed, Ahmed; Palmer, Martha; Voss, Clare; Schneider, Cynthia; Onyshkevych, Boyan. - : arXiv, 2020
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Abstract:
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations, and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence. ... : 12 pages, Accepted by Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics System Demonstrations, for resources see http://blender.cs.illinois.edu/covid19/, for video see http://159.89.180.81/demo/covid/Covid-KG_DemoVideo.mp4, for slides see https://eaglew.github.io/files/Covid-KG_DemoVideo_with_ethics.pdf ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2007.00576 https://dx.doi.org/10.48550/arxiv.2007.00576
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From Submit to Submitted via Submission: On Lexical Rules in Large-Scale Lexicon Acquisition ...
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Corpora and Data Preparation for Information Extraction
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In: DTIC (1993)
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Tasks, Domains, and Languages for Information Extraction
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In: DTIC (1993)
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