This short paper describes a web resource—the NISTCORD-19 Web Resource—for community explorations of the COVID19 Open Research Dataset (CORD-19). The tools for exploration in theweb resource make use of the NIST-developed Root- and Rule-basedmethod, which exploits underlying linguistic structures to create termsthat represent phrases in a corpus. The method allows for auto-suggest?ing-related terms to discover terms to refne the search of a COVID-19heterogenous document base. The method also produces taxonomicstructures in the target domain as well as providing semantic informa?tion about the relationships between terms. This term structure can serveas a basis for creating topic modeling and trend analysis tools. In thispaper, we describe use of a novel search engine to demonstrate someof the capabilities above.
展开▼
