Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles

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Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles
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). &quot;<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>&quot;. Springer, Cham. DOI: 10.1007/978-3-319-15168-7_30.