Abstract
We present the Visual Entity Explorer (VEX), an interactive tool for visually exploring and analyzing the output of entity linking systems. VEX is designed to aid developers in improving their systems by visualizing system results, gold annotations, and various mention detection and entity linking error types in a clear, concise, and customizable manner.
Cite
CITATION STYLE
Heinzerling, B., & Strube, M. (2015). Visual error analysis for entity linking. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations (pp. 37–42). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p15-4007
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