2020
EMNLP
EMNLP 2020
Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
Abstract
AbstractDespite the significant progress on entity coreference resolution observed in recent years, there is a general lack of understanding of what has been improved. We present an empirical analysis of state-of-the-art resolvers with the goal of providing the general NLP audience with a better understanding of the state of the art and coreference researchers with directions for future research.