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

被引:0
|
作者
Lu, Jing [1 ]
Ng, Vincent [1 ]
机构
[1] Univ Texas Dallas, Human Language Technol Res Inst, Richardson, TX 75083 USA
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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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页码:6620 / 6631
页数:12
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