Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature. (arXiv:2203.05112v1 [cs.DL])

Data citations provide a foundation for studying research data impact.
Collecting and managing data citations is a new frontier in archival science
and scholarly communication. However, the discovery and curation of research
data citations is labor intensive. Data citations that reference unique
identifiers (i.e. DOIs) are readily findable; however, informal mentions made
to research data are more challenging to infer. We propose a natural language
processing (NLP) paradigm to support the human task of identifying informal
mentions made to research …

academic arxiv data dl language literature natural natural language natural language processing processing research