1 code implementation • 4 Jan 2021 • Arthur Brack, Daniel Uwe Müller, Anett Hoppe, Ralph Ewerth
We present the following contributions: (1) We annotate a corpus for coreference resolution that comprises 10 different scientific disciplines from Science, Technology, and Medicine (STM); (2) We propose transfer learning for automatic coreference resolution in research papers; (3) We analyse the impact of coreference resolution on knowledge graph (KG) population; (4) We release a research KG that is automatically populated from 55, 485 papers in 10 STM domains.
Ranked #1 on Coreference Resolution on STM-coref (using extra training data)