Name
Title | ||
|---|---|---|
Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles. |
Abstract | ||
|---|---|---|
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. We 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. We 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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-15168-7_30 | Lecture Notes in Computer Science |
Field | DocType | Volume |
World Wide Web,Information retrieval,Computer science,Computational linguistics,Timeline,Historical figure,Classifier (linguistics),Top 100 historical figures of Wikipedia | Conference | 8852 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.37 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandro Bauer | 1 | 47 | 3.75 |
| Stephen Clark | 2 | 2369 | 162.42 |
| Thore Graepel | 3 | 4211 | 242.71 |