 |
Free and accessible knowledge |
Conference papers
Language-based Construction of Explorable News Graphs for Journalists
Abstract : Faced with ever-growing news archives, media professionals are in need of advanced tools to explore the information surrounding specific events. This problem is most commonly answered by browsing news datasets, going from article to article and viewing unaltered original content. In this article, we introduce an efficient way to generate links between news items, allowing such browsing through an easily explorable graph, and enrich this graph by automatically typing links in order to inform the user on the nature of the relation between two news pieces. User evaluations are conducted on real world data with journalists in order to assess for the interest of both the graph representation and link typing in a press reviewing task, showing the system to be of significant help for their work.
Cited literature [13 references]
https://hal.archives-ouvertes.fr/hal-01578932
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Wednesday, August 30, 2017 - 4:16:55 PM
Last modification on : Wednesday, April 27, 2022 - 3:48:57 AM
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Wednesday, August 30, 2017 - 4:16:55 PM
Last modification on : Wednesday, April 27, 2022 - 3:48:57 AM
File
EMNLP_2017_Workshop.pdf
Files produced by the author(s)