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This is the data for the TPDL 2021 paper "Token-Level Multilingual Epidemic Dataset for Event Extraction". If you use this resource, please cite the paper: @inproceedings{mutuvi2021dataset, title = "Token-level Multilingual Epidemic Dataset for Event Extraction", author = {Mutuvi, Stephen and Boros, Emanuela and Doucet, Antoine, and Lejeune, Gaël and Jatowt, Adam and Odeo, Moses}, booktitle = "Proceedings of the 25th International Conference on Theory and Practice of Digital Libraries, September 13–17, 2021, TPDL 2021", year = "2021", location = "Online" } This work has been supported by the European Union Horizon 2020 research and innovation programme under grants 825153 (Embeddia) and 770299 (NewsEye).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 |

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