Using Text-Mining and Summarisation Technology

This presentation by Emma Warren-Jones was part of a NISO 2020 virtual conference entitled Researcher Behaviors and the Impact of Technology. Emma offered this as the abstract of her talk:

With the number of new scientific papers each year now exceeding 2.5 million and publishing scientists worldwide growing at a rate of 4-5% per year, the task for researchers needing to draw from this ever-deepening well of knowledge can be overwhelming. And the challenge isn’t limited to published research. Since the early 90s, researchers have been making their early-stage findings available on preprint servers, and in the past couple of years preprints have gone mainstream. This can be seen as a double-edged sword: far more research is now freely available to the academic community, but at the expense of even greater information overload.

We’ll talk about some of the ways that researchers are adopting text-mining and summarisation tools such as Scholarcy to:

Systematically screen the literature in their field

Get quick, informative overviews of academic papers

Extract references and follow the citation trail

Extract figures and tabular data to analyse in more depth

Promote their own research

Click on the arrow above to watch the embedded video or click through here to view the recorded presentation on Youtube.