Name
Title | ||
|---|---|---|
Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job. |
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. |
Year | Venue | Keywords |
|---|---|---|
2016 | LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | entity linking,evaluation,benchmark |
Field | DocType | Citations |
Entity linking,Data science,Computer science | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marieke van Erp | 1 | 284 | 24.19 |
| Pablo N. Mendes | 2 | 1070 | 51.09 |
| Heiko Paulheim | 3 | 1095 | 84.19 |
| Filip Ilievski | 4 | 12 | 7.63 |
| Julien Plu | 5 | 15 | 5.02 |
| Giuseppe Rizzo | 6 | 349 | 37.75 |
| Jörg Waitelonis | 7 | 152 | 15.27 |