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Socio-Political Event Extraction Using a Rule-Based Approach. / Danilova, Vera; Popova, Svetlana.

в: Lecture Notes in Computer Science, Том 8842, 2014, стр. 537-546.

Результаты исследований: Научные публикации в периодических изданиях › статья

Harvard

Danilova, V & Popova, S 2014, 'Socio-Political Event Extraction Using a Rule-Based Approach', Lecture Notes in Computer Science, Том. 8842, стр. 537-546. <http://www.scopus.com/record/display.url?eid=2-s2.0-84910140580&origin=resultslist&sort=plf-f&src=s&st1=Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach&st2=&sid=AB3C99649D27F323E3828FAE873F0129.FZg2ODcJC9ArCe8WOZPvA%3a10&sot=b&sdt=b&sl=75&s=TITLE-ABS-KEY%28Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach%29&relpos=0&relpos=0&citeCnt=0&searchTerm=TITLE-ABS-KEY%28Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach%29>

APA

Danilova, V., & Popova, S. (2014). Socio-Political Event Extraction Using a Rule-Based Approach. Lecture Notes in Computer Science, 8842, 537-546. http://www.scopus.com/record/display.url?eid=2-s2.0-84910140580&origin=resultslist&sort=plf-f&src=s&st1=Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach&st2=&sid=AB3C99649D27F323E3828FAE873F0129.FZg2ODcJC9ArCe8WOZPvA%3a10&sot=b&sdt=b&sl=75&s=TITLE-ABS-KEY%28Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach%29&relpos=0&relpos=0&citeCnt=0&searchTerm=TITLE-ABS-KEY%28Socio-Political+Event+Extraction+Using+a+Rule-Based+Approach%29

Vancouver

Danilova V, Popova S. Socio-Political Event Extraction Using a Rule-Based Approach. Lecture Notes in Computer Science. 2014;8842:537-546.

Author

Danilova, Vera ; Popova, Svetlana. / Socio-Political Event Extraction Using a Rule-Based Approach. в: Lecture Notes in Computer Science. 2014 ; Том 8842. стр. 537-546.

BibTeX

@article{9abce433611d44aa96687ce00c4b46c4,
title = "Socio-Political Event Extraction Using a Rule-Based Approach",
abstract = "News reports are currently one of the most studied data sources in the field of information extraction. Event descriptions that come from these sources are controversial, complementary and reflect relationships between the participating entities. The aim of the present work is to test a group of predefined patterns and rules to obtain sets of automatically filled scenario templates for socio-political events (case study: protests) and to apply clustering algorithms. At this stage the information is extracted from Russian news titles. The results of the pattern quality assessment and clustering are presented.",
author = "Vera Danilova and Svetlana Popova",
year = "2014",
language = "не определен",
volume = "8842",
pages = "537--546",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Socio-Political Event Extraction Using a Rule-Based Approach

AU - Danilova, Vera

AU - Popova, Svetlana

PY - 2014

Y1 - 2014

N2 - News reports are currently one of the most studied data sources in the field of information extraction. Event descriptions that come from these sources are controversial, complementary and reflect relationships between the participating entities. The aim of the present work is to test a group of predefined patterns and rules to obtain sets of automatically filled scenario templates for socio-political events (case study: protests) and to apply clustering algorithms. At this stage the information is extracted from Russian news titles. The results of the pattern quality assessment and clustering are presented.

AB - News reports are currently one of the most studied data sources in the field of information extraction. Event descriptions that come from these sources are controversial, complementary and reflect relationships between the participating entities. The aim of the present work is to test a group of predefined patterns and rules to obtain sets of automatically filled scenario templates for socio-political events (case study: protests) and to apply clustering algorithms. At this stage the information is extracted from Russian news titles. The results of the pattern quality assessment and clustering are presented.

M3 - статья

VL - 8842

SP - 537

EP - 546

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 5747155