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Multilingual Protest Event Data Collection with GATE. / Danilova, Vera; Popova, Svetlana; Alexandrov, Mikhail.

In: Lecture Notes in Computer Science, Vol. 9612, 2016, p. 115-126.

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Harvard

Danilova, V, Popova, S & Alexandrov, M 2016, 'Multilingual Protest Event Data Collection with GATE', Lecture Notes in Computer Science, vol. 9612, pp. 115-126. https://doi.org/10.1007/978-3-319-41754-7_10

APA

Danilova, V., Popova, S., & Alexandrov, M. (2016). Multilingual Protest Event Data Collection with GATE. Lecture Notes in Computer Science, 9612, 115-126. https://doi.org/10.1007/978-3-319-41754-7_10

Vancouver

Danilova V, Popova S, Alexandrov M. Multilingual Protest Event Data Collection with GATE. Lecture Notes in Computer Science. 2016;9612:115-126. https://doi.org/10.1007/978-3-319-41754-7_10

Author

Danilova, Vera ; Popova, Svetlana ; Alexandrov, Mikhail. / Multilingual Protest Event Data Collection with GATE. In: Lecture Notes in Computer Science. 2016 ; Vol. 9612. pp. 115-126.

BibTeX

@article{6d07de1dcbfd4c9c8e0b4c9e5fd2b360,
title = "Multilingual Protest Event Data Collection with GATE",
abstract = "Protest event databases are key sources that sociologists need to study the collective action dynamics and properties. This paper describes a finite-state approach to protest event features collection from short texts (news lead sentences) in several European languages (Bulgarian, French, Polish, Russian, Spanish, Swedish) using the General Architecture for Text Engineering (GATE). The results of the annotation performance evaluation are presented.",
keywords = "Protest event data, Event features, Information extraction, GATE",
author = "Vera Danilova and Svetlana Popova and Mikhail Alexandrov",
year = "2016",
doi = "10.1007/978-3-319-41754-7_10",
language = "English",
volume = "9612",
pages = "115--126",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Multilingual Protest Event Data Collection with GATE

AU - Danilova, Vera

AU - Popova, Svetlana

AU - Alexandrov, Mikhail

PY - 2016

Y1 - 2016

N2 - Protest event databases are key sources that sociologists need to study the collective action dynamics and properties. This paper describes a finite-state approach to protest event features collection from short texts (news lead sentences) in several European languages (Bulgarian, French, Polish, Russian, Spanish, Swedish) using the General Architecture for Text Engineering (GATE). The results of the annotation performance evaluation are presented.

AB - Protest event databases are key sources that sociologists need to study the collective action dynamics and properties. This paper describes a finite-state approach to protest event features collection from short texts (news lead sentences) in several European languages (Bulgarian, French, Polish, Russian, Spanish, Swedish) using the General Architecture for Text Engineering (GATE). The results of the annotation performance evaluation are presented.

KW - Protest event data

KW - Event features

KW - Information extraction

KW - GATE

U2 - 10.1007/978-3-319-41754-7_10

DO - 10.1007/978-3-319-41754-7_10

M3 - Article

VL - 9612

SP - 115

EP - 126

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 7577948