News Headline as a Form of News Text Compression

Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review

Department of Information Systems in Arts and Humanities

DOI

https://doi.org/10.1007/978-3-030-01159-8_13
Final published version

In this paper we analyze news text collections (clusters) via extracting their paraphrase headlines into a paraphrase graph and working with this graph. Our aim is to test whether news headline is an appropriate form of news text compression. Different types of news collections: dynamic, static and combined (both dynamic and static) clusters are analyzed and it is shown that their respective paraphrase graphs reflect the characteristics of the texts. We also automatically extract the most informationally important linked fragments of news texts, and these fragments characterize news texts as either informative, conveying some information, or publicistic ones, trying to affect the readers emotionally. It is shown that news headlines of the informative type do represent their respective compressed news reports.

Original language	English
Title of host publication	Social Informatics
Subtitle of host publication	10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II
Publisher	Springer Nature
Pages	139-147
Number of pages	9
Volume	11186 LNCS
ISBN (Electronic)	978-3-030-01159-8
ISBN (Print)	978-3-030-01158-1
DOIs	https://doi.org/10.1007/978-3-030-01159-8_13
State	Published - 2018

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11186
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Research areas

News cluster, Paraphrase graph, Paraphrase extraction, Linked text segments, Text analysis

Scopus subject areas

Computer Science (miscellaneous)
Language and Linguistics

ID: 37683657