mlsanityData to 14 Oct 2026

Using Text Analytics for Health to Get Meaningful Insights from a Corpus of COVID Scientific Papers

arXiv 2110.15453 ↗First posted 28 Oct 2021cs.CL cs.DL cs.IRcited by 0

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Abstract (arXiv)

Since the beginning of COVID pandemic, there have been around 700000 scientific papers published on the subject. A human researcher cannot possibly get acquainted with such a huge text corpus -- and therefore developing AI-based tools to help navigating this corpus and deriving some useful insights from it is highly needed. In this paper, we will use Text Analytics for Health pre-trained service together with some cloud tools to extract some knowledge from scientific papers, gain insights, and build a tool to help researcher navigate the paper collection in a meaningful way.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 12 references that are in the map. First posted on arXiv 28 Oct 2021.

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References · 2

  1. 2020Domain-Specific Language Model Pretraining for Biomedical Natural Language Processingcited by 1,009
  2. 2020CORD-19: The COVID-19 Open Research Datasetcited by 180

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