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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Tough Tables: Carefully Benchmarking Semantic Table Annotators

Authors: Cutrona, Vincenzo; Bianchi, Federico; Jiménez-Ruiz, Ernesto; Palmonari, Matteo;

Tough Tables: Carefully Benchmarking Semantic Table Annotators

Abstract

Tough Tables (2T) is a dataset designed to evaluate table annotation approaches on the CEA task. The dataset is compliant with the data format used in SemTab2019, and it can be used as an additional dataset without any modification. Annotations are based on DBpedia 2016-10. Note on License: This dataset includes data from the following sources. Refer to each source for license details: - Wikipedia https://www.wikipedia.org/ - DBpedia http://dbpedia.org/ - SemTab2019 https://doi.org/10.5281/zenodo.3518539 - GeoDatos https://www.geodatos.net - The Pudding https://pudding.cool/ - Offices.net https://offices.net - DATA.GOV https://www.data.gov/ THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Draft submission. This version (v.0.1-pre) contains tables only, without the GT. A new version containing the GT will be published at the end of SemTab2020 (https://www.cs.ox.ac.uk/isg/challenges/sem-tab/2020/index.html).

Keywords

CEA, tabular data annotation, entity resolution, entity linking, cell-entity 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!
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