Course project for Formale Semantik (University of Heidelberg). We investigate Named Entity Recognition & Classification (NERC) under increasing label granularity (from coarse-grained up to ultra-fine entity typing).
OntoNotes: The 90% Solution (Hovy et al., NAACL 2006)
Fine-grained entity recognition (FIGER) (Ling and Weld, AAAI 2012)
Ultra-Fine Entity Typing (Choi et al., ACL 2018)
Status: Work in progress (this repo will evolve as experiments and structure solidify!).