Difference between revisions of "Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles"
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Latest revision as of 09:42, 15 January 2020
Authors | Sandro Bauer Stephen Clark Thore Graepel |
|---|---|
Publication date | 2014 |
DOI | 10.1007/978-3-319-15168-7_30 |
Links | Original |
Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles - scientific work related to Wikipedia quality published in 2014, written by Sandro Bauer, Stephen Clark and Thore Graepel.
Overview
This paper addresses a central sub-task of timeline creation from historical Wikipedia articles: learning from text which of the person names in a textual article should appear in a timeline on the same topic. Authors first process hundreds of timelines written by human experts and related Wikipedia articles to construct a corpus that can be used to evaluate systems that create history timelines from text documents. Authors then use a set of features to train a classifier that predicts the most important person names, resulting in a clear improvement over a competitive baseline.
Embed
Wikipedia Quality
Bauer, Sandro; Clark, Stephen; Graepel, Thore. (2014). "[[Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles]]". Springer, Cham. DOI: 10.1007/978-3-319-15168-7_30.
English Wikipedia
{{cite journal |last1=Bauer |first1=Sandro |last2=Clark |first2=Stephen |last3=Graepel |first3=Thore |title=Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles |date=2014 |doi=10.1007/978-3-319-15168-7_30 |url=https://wikipediaquality.com/wiki/Learning_to_Identify_Historical_Figures_for_Timeline_Creation_from_Wikipedia_Articles |journal=Springer, Cham}}
HTML
Bauer, Sandro; Clark, Stephen; Graepel, Thore. (2014). "<a href="https://wikipediaquality.com/wiki/Learning_to_Identify_Historical_Figures_for_Timeline_Creation_from_Wikipedia_Articles">Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles</a>". Springer, Cham. DOI: 10.1007/978-3-319-15168-7_30.
