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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Claim

MammoTab 22: a giant and comprehensive dataset for Semantic Table Interpretation

Research datakeyboard_double_arrow_right Dataset 22 Aug 2022Publisher:Zenodo
Authors: Mattia Marzocchi; Marco Cremaschi; Riccardo Pozzi; Roberto Avogadro; Matteo Palmonari;

doi: 10.5281/zenodo.7014472 , 10.5281/zenodo.7014471

MammoTab 22: a giant and comprehensive dataset for Semantic Table Interpretation

Abstract

MammoTab is a dataset designed to evaluate semantic table annotation approaches. It includes two types of annotation: cell/mentions to Knowledge Graph (KG) entity matching (CEA task) and; column to KG class matching (CTA task). It is composed of 980254 tables extracted from 21149260 Wikipedia pages and annotated through Wikidata v. 20220708. The dataset is compliant with the data format used in SemTab2019.

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Keywords

semantic table interpretation, entity linking, cell entity annotation, column type annotation

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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