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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…
Créateur
- Zielinski, Andrea
- Mutschke, Peter
Éditeur
- Association for Computational Linguistics (ACL)
Thème
- Literature, rhetoric and criticism
- News media, journalism, publishing
- Information Science
- Science of Literature, Linguistics
- publication
- technical literature
- artificial intelligence
- computational linguistics
- survey
- social science
- …
- Intelligence artificielle
- Périodique
Type d'item
- Konferenzbeitrag
Créateur
- Zielinski, Andrea
- Mutschke, Peter
Éditeur
- Association for Computational Linguistics (ACL)
Thème
- Literature, rhetoric and criticism
- News media, journalism, publishing
- Information Science
- Science of Literature, Linguistics
- publication
- technical literature
- artificial intelligence
- computational linguistics
- survey
- social science
- …
- Intelligence artificielle
- Périodique
Type d'item
- Konferenzbeitrag
Institution partenaire
Agrégateur
Licence du support dans cet enregistrement (sauf indication contraire)
- http://creativecommons.org/licenses/by-nc-sa/4.0/
Droits
- GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Date de création
- 2017
- 2017
Provenance
- Status: Postprint; begutachtet (peer reviewed)
Source
- Proceedings of the Second Workshop on NLP and Computational Social Science
Identificateur
- 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
Étendue
- Seite(n): 47-52
Format
- application/pdf
Langue
- eng
- eng
Année
- 2017
Pays fournisseur
- Germany
Nom de la collection
Première publication sur Europeana
- 2022-01-21T09:51:58.264Z
Dernière mise à jour de l'Institution partenaire
- 2022-01-21T09:51:58.264Z