Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
News Headline as a Form of News Text Compression. / Кочеткова, Наталья; Ягунова, Елена Викторовна; Проноза, Екатерина Валерьевна.
Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II. Vol. 11186 LNCS Springer Nature, 2018. p. 139-147 (Lecture Notes in Computer Science; Vol. 11186).Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review
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TY - CHAP
T1 - News Headline as a Form of News Text Compression
AU - Кочеткова, Наталья
AU - Ягунова, Елена Викторовна
AU - Проноза, Екатерина Валерьевна
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - News cluster
KW - Paraphrase graph
KW - Paraphrase extraction
KW - Linked text segments
KW - Text analysis
U2 - 10.1007/978-3-030-01159-8_13
DO - 10.1007/978-3-030-01159-8_13
M3 - Article in an anthology
SN - 978-3-030-01158-1
VL - 11186 LNCS
T3 - Lecture Notes in Computer Science
SP - 139
EP - 147
BT - Social Informatics
PB - Springer Nature
ER -
ID: 37683657