Evidence map›Paper›PMID 33013023›Full record

ReviewJournal of the Indian Institute of Science2020

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

Jacob Collard, Talapady Bhat, Eswaran Subrahmanian, Ira Monarch, Jonah Tash, Ram Sriram, John Elliot

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the Indian Institute of Science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jacob CollardNational Institute of Standards and Technology, Gaithersburg, MD USA.
Talapady BhatNational Institute of Standards and Technology, Gaithersburg, MD USA.
Eswaran SubrahmanianNational Institute of Standards and Technology, Gaithersburg, MD USA.
Ira MonarchNational Institute of Standards and Technology, Gaithersburg, MD USA.
Jonah TashNational Institute of Standards and Technology, Gaithersburg, MD USA.
Ram SriramNational Institute of Standards and Technology, Gaithersburg, MD USA.
John ElliotNational Institute of Standards and Technology, Gaithersburg, MD USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Auto-suggest searchCORD-19 datasetRoot- and rule-based method

Identifiers

PMID33013023
PMCPMC7523249

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.