Gerbil Evaluation Data Of Robust And Collective Entity Disambiguation Through Semantic Embeddings

Zwicklbauer Stefan

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Other ORP type . 2016

License: CC BY

Data sources: Datacite

ZENODO

Image . 2016

License: CC BY

Data sources: ZENODO

Gerbil Evaluation Data Of Robust And Collective Entity Disambiguation Through Semantic Embeddings

appsOther research productkeyboard_double_arrow_right Other ORP type , Image 10 May 2016Publisher:Zenodo

Authors: Zwicklbauer Stefan;

doi: 10.5281/zenodo.51250

Gerbil Evaluation Data Of Robust And Collective Entity Disambiguation Through Semantic Embeddings

- Summary
- Subjects
- Metrics

Abstract

A table containing the SIGIR 2016 experiments performed with GERBIL in context of the SIGIR 2016 work "Robust and Collective Entity Disambiguation through Semantic Embeddings" by Stefan Zwicklbauer, Christin Seifert and Michael Granitzer It also contains the original URL to the GERBIL website Corresponding GitHub Repository: https://github.com/quhfus/

Keywords

Entity Disambiguation, Evaluation

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).	1
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average