Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
Jing Juan Lu, Vincent Ng · 2020
Despite 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.