2 citations · 2 across the 2 of their papers we have counts for
2 papers
q-bio.QM2023★ 2 cited
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Text
Rafsan Ahmed, Petter Berntsson, Alexander Skafte +8
Background Medical and life science research generates millions of publications, and it is a great challenge for researchers to utilize this information in full since its scale and…
cs.CL2019
Overview of the Ugglan Entity Discovery and Linking System
Marcus Klang, Firas Dib, Pierre Nugues
Ugglan is a system designed to discover named entities and link them to unique identifiers in a knowledge base. It is based on a combination of a name and nominal dictionary derive…