| dc.contributor.author | Tessem, Bjørnar | |
| dc.date.accessioned | 2020-06-05T13:08:10Z | |
| dc.date.available | 2020-06-05T13:08:10Z | |
| dc.date.issued | 2019 | |
| dc.Published | Tessem B. Analogical New Angles from Text Similarity. Lecture Notes in Computer Science (LNCS). 2019;11927:449-455 | eng |
| dc.identifier.issn | 1611-3349 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | http://hdl.handle.net/1956/22473 | |
| dc.description.abstract | The paper presents an algorithm providing creativity support to journalists. It suggests analogical transfer of news angles from reports written about different events than the one the journalist is working on. The problem is formulated as a matching problem, where news reports with similar wordings from two events are matched, and unmatched reports from previous cases are selected as candidates for a news angle transfer. The approach is based on document similarity measures for matching and selection of transferable candidates. The algorithm has been tested on a small data set and show that the concept may be viable, but needs more exploration and evaluation in journalistic practice. | en_US |
| dc.language.iso | eng | eng |
| dc.publisher | Springer | eng |
| dc.title | Analogical News Angles from Text Similarity | eng |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.date.updated | 2020-01-23T11:32:03Z | |
| dc.description.version | acceptedVersion | |
| dc.rights.holder | Copyright Springer Nature Switzerland AG 2019 | en_US |
| dc.identifier.doi | https://doi.org/10.1007/978-3-030-34885-4_35 | |
| dc.identifier.cristin | 1764299 | |
| dc.source.journal | Lecture Notes in Computer Science (LNCS) | |
| dc.relation.project | Norges forskningsråd: 275872 | |
