Inloggen om dit object in andere talen te zien
Mining Social Science Publications for Survey Variables
Research in Social Science is usually based on survey data where individual research questions relate to observable concepts (variables). However, due to a lack of standards for data citations a reliable identification of the variables used is often difficult. In this paper, we present a work-in-progress study that seeks to provide a solution to the variable detection task based on supervised mach…
Makers
- Zielinski, Andrea
- Mutschke, Peter
Uitgever
- Association for Computational Linguistics (ACL)
Onderwerp
- Literature, rhetoric and criticism
- News media, journalism, publishing
- Information Science
- Science of Literature, Linguistics
- publication
- technical literature
- artificial intelligence
- computational linguistics
- survey
- social science
- …
- Kunstmatige intelligentie
- Periodiek
Type object
- Konferenzbeitrag
Makers
- Zielinski, Andrea
- Mutschke, Peter
Uitgever
- Association for Computational Linguistics (ACL)
Onderwerp
- Literature, rhetoric and criticism
- News media, journalism, publishing
- Information Science
- Science of Literature, Linguistics
- publication
- technical literature
- artificial intelligence
- computational linguistics
- survey
- social science
- …
- Kunstmatige intelligentie
- Periodiek
Type object
- Konferenzbeitrag
Deelnemende erfgoedorganisatie
Informatienetwerk
Rechtenstatus van de media in dit record (tenzij anders vermeld)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Rechten
- GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Aanmaakdatum
- 2017
- 2017
Herkomst
- Status: Postprint; begutachtet (peer reviewed)
Bron
- Proceedings of the Second Workshop on NLP and Computational Social Science
Identificatie
- oai:gesis.izsoz.de:document/57722
- https://www.ssoar.info/ssoar/handle/document/57722
- urn:nbn:de:0168-ssoar-57722-7
- http://www.ssoar.info/ssoar/bitstream/handle/document/57722/ssoar-2017-zielinski_et_al-Mining_Social_Science_Publications_for.pdf?sequence=1
- http://www.deutsche-digitale-bibliothek.de/item/MPEIKUQWVYGXOZSLM6WRMLZIAWMMBXLX
Mate
- Seite(n): 47-52
Vorm
- application/pdf
Taal
- eng
- eng
Jaar
- 2017
Land
- Germany
Naam van de collectie
Voor het eerst gepubliceerd op Europeana
- 2022-01-21T09:51:58.264Z
Laatste keer bijgewerkt door deelnemende erfgoedorganisatie
- 2022-01-21T09:51:58.264Z