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A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles

Daxenberger, Johannes ; Gurevych, Iryna (2012)
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles.
Mumbai, India
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we present a study of the collaborative writing process in Wikipedia. Our work is based on a corpus of 1,995 edits obtained from 891 article revisions in the English Wikipedia. We propose a 21-category classification scheme for edits based on Faigley and Witte’s (1981) model. Example edit categories include spelling error corrections and vandalism. In a manual multi-label annotation study with 3 annotators, we obtain an inter-annotator agreement of α = 0.67. We further analyze the distribution of edit categories for distinct stages in the revision history of 10 featured and 10 non-featured articles. Our results show that the information content in featured articles tends to become more stable after their promotion. On the opposite, this is not true for non-featured articles. We make the resulting corpus and the annotation guidelines freely available.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Daxenberger, Johannes ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles
Sprache: Englisch
Publikationsjahr: Dezember 2012
Buchtitel: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012)
Veranstaltungsort: Mumbai, India
URL / URN: http://www.aclweb.org/anthology/C12-1044
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Kurzbeschreibung (Abstract):

In this paper, we present a study of the collaborative writing process in Wikipedia. Our work is based on a corpus of 1,995 edits obtained from 891 article revisions in the English Wikipedia. We propose a 21-category classification scheme for edits based on Faigley and Witte’s (1981) model. Example edit categories include spelling error corrections and vandalism. In a manual multi-label annotation study with 3 annotators, we obtain an inter-annotator agreement of α = 0.67. We further analyze the distribution of edit categories for distinct stages in the revision history of 10 featured and 10 non-featured articles. Our results show that the information content in featured articles tends to become more stable after their promotion. On the opposite, this is not true for non-featured articles. We make the resulting corpus and the annotation guidelines freely available.

Freie Schlagworte: UKP_p_TextAsProcess;reviewed;UKP_a_TexMinAn
ID-Nummer: TUD-CS-2012-0225
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 24 Jan 2020 12:03
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