Expert Finding Benchmark Datasets (IR, CL and SW communities)

This is the updated version of the original benchmark expert finding datasets proposed by the authors of this paper - https://doi.org/10.1145/2508497.2508501. The current version is released as part of Neural Expert Finder (NEF), a novel expert finding approach utilizing transformer based pre-trained language models.

Keywords

Expert Finding

Impact byBIP!

	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