NECKAr : A Named Entity Classifier for Wikidata

Geiß, Johanna; Spitz, Andreas; Gertz, Michael

NECKAr : A Named Entity Classifier for Wikidata

Dateien

Geiss_2-srmq9b397aes4.pdfGröße: 732.22 KBDownloads: 290

Datum

2018

Autor:innen

Geiß, Johanna

Spitz, Andreas

Gertz, Michael

Open Access-Veröffentlichung

Open Access Bookpart

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

REHM, Georg, ed., Thierry DECLERCK, ed.. Language Technologies for the Challenges of the Digital Age : 27th International Conference, GSCL 2017, Proceedings. Cham: Springer International Publishing, 2018, pp. 115-129. Lecture Notes in Computer Science. 10713. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-73705-8. Available under: doi: 10.1007/978-3-319-73706-5_10

Zusammenfassung

Many Information Extraction tasks such as Named Entity Recognition or Event Detection require background repositories that provide a classification of entities into the basic, predominantly used classes location, person, and organization. Several available knowledge bases offer a very detailed and specific ontology of entities that can be used as a repository. However, due to the mechanisms behind their construction, they are relatively static and of limited use to IE approaches that require up-to-date information. In contrast, Wikidata is a community-edited knowledge base that is kept current by its userbase, but has a constantly evolving and less rigid ontology structure that does not correspond to these basic classes. In this paper we present the tool NECKAr, which assigns Wikidata entities to the three main classes of named entities, as well as the resulting Wikidata NE dataset that consists of over 8 million classified entities. Both are available at http://event.ifi.uni-heidelberg.de/?page_id=532.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Wikidata, Named Entity Classes, Infobox, Wikipedia Language Versions, Wikipedia Categories

Konferenz

GSCL 2017: International Conference of the German Society for Computational Linguistics and Language Technology, 13. Sept. 2017 - 14. Sept. 2017, Berlin, Germany

Zitieren

ISO 690

GEISS, Johanna, Andreas SPITZ, Michael GERTZ, 2018. NECKAr : A Named Entity Classifier for Wikidata. GSCL 2017: International Conference of the German Society for Computational Linguistics and Language Technology. Berlin, Germany, 13. Sept. 2017 - 14. Sept. 2017. In: REHM, Georg, ed., Thierry DECLERCK, ed.. Language Technologies for the Challenges of the Digital Age : 27th International Conference, GSCL 2017, Proceedings. Cham: Springer International Publishing, 2018, pp. 115-129. Lecture Notes in Computer Science. 10713. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-73705-8. Available under: doi: 10.1007/978-3-319-73706-5_10

BibTex

@inproceedings{Gei2018-01-06NECKA-55799,
  year={2018},
  doi={10.1007/978-3-319-73706-5_10},
  title={NECKAr : A Named Entity Classifier for Wikidata},
  number={10713},
  isbn={978-3-319-73705-8},
  issn={0302-9743},
  publisher={Springer International Publishing},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Language Technologies for the Challenges of the Digital Age : 27th International Conference, GSCL 2017, Proceedings},
  pages={115--129},
  editor={Rehm, Georg and Declerck, Thierry},
  author={Geiß, Johanna and Spitz, Andreas and Gertz, Michael}
}

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Universitätsbibliographie

Nein