3 datasets found
  1. Resources for reproducing experiments in "Novel Entity Discovery from Web...

    • zenodo.org
    zip
    Updated Jan 25, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda; Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda (2020). Resources for reproducing experiments in "Novel Entity Discovery from Web Tables" [Dataset]. http://doi.org/10.5281/zenodo.3627274
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 25, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda; Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains resources developed for the paper: "S. Zhang, E. Meij, K. Balog, and R. Reinanda. Novel Entity Discovery from Web Tables. In: Proceeding of the The Web Conference 2020 (WWW ’20), April 2020".

    It includes the three test collections for novel entity discovery for Web tables, entity type and mention resolution, as well as the mention-entity and heading-property correspondences for 3M tables. The cited datasets were used in this work.

    Files to recreate the entity linking experiments:

    • training_el.csv
    • training_el_type.csv
    • training_el_type_wiki.csv
    • training_el_wiki.csv
    • training_schema.csv

    Files to recreate the table matching experiments:

    • me_corres.csv - textual cells algorithmically linked to Wikipedia entities
    • hp_corres.csv - same but only table headings

    Files to recreate the entity resolution experiments:

    • ec_golden.csv - 20K unlinked mentions textual cells, manually linked to Wikipedia
    • er_sf_golden.csv - 1K cell values, manually clustered
    • er_type_golden.csv - 1K cell values, manually linked to DBpedia types
  2. e

    STRUCTURE OF HIV-1 REVERSE TRANSCRIPTASE IN A COMPLEX WITH THE NONNUCLEOSIDE...

    • ebi.ac.uk
    Updated Jul 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). STRUCTURE OF HIV-1 REVERSE TRANSCRIPTASE IN A COMPLEX WITH THE NONNUCLEOSIDE INHIBITOR ALPHA-APA R 95845 AT 2.8 ANGSTROMS RESOLUTION [Dataset]. https://www.ebi.ac.uk/interpro/structure/PDB/1hni/
    Explore at:
    Dataset updated
    Jul 2, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The main entity of this document is a structure with accession number 1hni

  3. i

    Wielkość rynku rozwiązań tożsamościowych USD XXX do 2030 r.

    • insightsleader.com
    pdf
    Updated Jun 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lider ds. spostrzeżeń (2024). Wielkość rynku rozwiązań tożsamościowych USD XXX do 2030 r. [Dataset]. https://www.insightsleader.com/pl/identity-resolution-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Lider ds. spostrzeżeń
    License

    https://www.reportsinsights.com/privacy-policyhttps://www.reportsinsights.com/privacy-policy

    Area covered
    Global
    Description

    Rynek rozwiązań do rozpoznawania tożsamości rośnie w tempie CAGR XX% od 2023 do 2030 r. | Prognozuje się, że do 2030 r. osiągnie US$ XXX | Wartość rynku w 2022 r. wyniesie US$ XXX

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda; Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda (2020). Resources for reproducing experiments in "Novel Entity Discovery from Web Tables" [Dataset]. http://doi.org/10.5281/zenodo.3627274
Organization logo

Resources for reproducing experiments in "Novel Entity Discovery from Web Tables"

Explore at:
zipAvailable download formats
Dataset updated
Jan 25, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda; Shuo Zhang; Edgar Meij; Krisztian Balog; Ridho Reinanda
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This repository contains resources developed for the paper: "S. Zhang, E. Meij, K. Balog, and R. Reinanda. Novel Entity Discovery from Web Tables. In: Proceeding of the The Web Conference 2020 (WWW ’20), April 2020".

It includes the three test collections for novel entity discovery for Web tables, entity type and mention resolution, as well as the mention-entity and heading-property correspondences for 3M tables. The cited datasets were used in this work.

Files to recreate the entity linking experiments:

  • training_el.csv
  • training_el_type.csv
  • training_el_type_wiki.csv
  • training_el_wiki.csv
  • training_schema.csv

Files to recreate the table matching experiments:

  • me_corres.csv - textual cells algorithmically linked to Wikipedia entities
  • hp_corres.csv - same but only table headings

Files to recreate the entity resolution experiments:

  • ec_golden.csv - 20K unlinked mentions textual cells, manually linked to Wikipedia
  • er_sf_golden.csv - 1K cell values, manually clustered
  • er_type_golden.csv - 1K cell values, manually linked to DBpedia types
Search
Clear search
Close search
Google apps
Main menu