Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
Jing Lu, Vincent Ng
Dialog and Interactive Systems Long Paper
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Abstract:
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.
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