Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
2020-11-01EMNLP 2020Unverified0· sign in to hype
Jing Lu, Vincent Ng
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.