Skip to content
conftrace_
2020 EMNLP EMNLP 2020

Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art

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.

More from EMNLP 2020

All EMNLP 2020 papers →