A Web Resource for Exploring the CORD-19 Dataset Using Root- and Rule-Based Phrases

This short paper describes a web resource—the NIST CORD-19 Web Resource—for community explorations of the COVID-19 Open Research Dataset (CORD-19). The tools for exploration in the web resource make use of the NIST-developed Root- and Rule-based method, which exploits underlying linguistic structure...

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Detalles Bibliográficos
Autores principales: Collard, Jacob, Bhat, Talapady, Subrahmanian, Eswaran, Monarch, Ira, Tash, Jonah, Sriram, Ram, Elliot, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523249/
https://www.ncbi.nlm.nih.gov/pubmed/33013023
http://dx.doi.org/10.1007/s41745-020-00193-2
Descripción
Sumario:This short paper describes a web resource—the NIST CORD-19 Web Resource—for community explorations of the COVID-19 Open Research Dataset (CORD-19). The tools for exploration in the web resource make use of the NIST-developed Root- and Rule-based method, which exploits underlying linguistic structures to create terms that represent phrases in a corpus. The method allows for auto-suggesting-related terms to discover terms to refine the search of a COVID-19 heterogenous document base. The method also produces taxonomic structures in the target domain as well as providing semantic information about the relationships between terms. This term structure can serve as a basis for creating topic modeling and trend analysis tools. In this paper, we describe use of a novel search engine to demonstrate some of the capabilities above.

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