@inproceedings{L16-1693,
 abstract = {Entity linking has become a popular task in both natural language processing and semantic web communities. However, we find that the benchmark datasets for entity linking tasks do not accurately evaluate entity linking systems. In this paper, we aim to chart the strengths and weaknesses of current benchmark datasets and sketch a roadmap for the community to devise better benchmark datasets.
},
 address = {Portorož, Slovenia},
 author = {Marieke van Erp and Pablo Mendes and Heiko Paulheim and Filip Ilievski and Julien Plu and Giuseppe Rizzo and Joerg Waitelonis},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {4373--4379},
 publisher = {European Language Resources Association (ELRA)},
 title = {Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job},
 url = {https://www.aclweb.org/anthology/L16-1693},
 year = {2016}
}