Entity Extraction in the Ecological Domain – A practical guide
Zusammenfassung
Scientific information comes in many shapes: As data in databases or spreadsheets, but also as textual information in papers and books. In order to exploit all this information and integrate all the knowledge that is available regarding a specific entity, it is necessary to identify entities and their relationships. In this paper, we provide a guideline to setting up a pipeline that supports entity and relationship extraction from scientific publications from the ecological domain.
- Vollständige Referenz
- BibTeX
Udovenko, V. & Algergawy, A.,
(2019).
Entity Extraction in the Ecological Domain – A practical guide.
In:
Meyer, H., Ritter, N., Thor, A., Nicklas, D., Heuer, A. & Klettke, M.
(Hrsg.),
BTW 2019 – Workshopband.
Gesellschaft für Informatik, Bonn.
(S. 155-160).
DOI: 10.18420/btw2019-ws-16
@inproceedings{mci/Udovenko2019,
author = {Udovenko, Vladimir AND Algergawy, Alsayed},
title = {Entity Extraction in the Ecological Domain – A practical guide},
booktitle = {BTW 2019 – Workshopband},
year = {2019},
editor = {Meyer, Holger AND Ritter, Norbert AND Thor, Andreas AND Nicklas, Daniela AND Heuer, Andreas AND Klettke, Meike} ,
pages = { 155-160 } ,
doi = { 10.18420/btw2019-ws-16 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Udovenko, Vladimir AND Algergawy, Alsayed},
title = {Entity Extraction in the Ecological Domain – A practical guide},
booktitle = {BTW 2019 – Workshopband},
year = {2019},
editor = {Meyer, Holger AND Ritter, Norbert AND Thor, Andreas AND Nicklas, Daniela AND Heuer, Andreas AND Klettke, Meike} ,
pages = { 155-160 } ,
doi = { 10.18420/btw2019-ws-16 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
ISBN: 978-3-88579-684-8
ISSN: 1617-5468
Datum: 2019
Sprache:
(en)
(en)
