Publication:
A task set proposal for automatic protest information collection across multiple countries

dc.contributor.departmentDepartment of Sociology
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.departmentGraduate School of Social Sciences and Humanities
dc.contributor.kuauthorDuruşan, Fırat
dc.contributor.kuauthorGürel, Burak
dc.contributor.kuauthorHürriyetoğlu, Ali
dc.contributor.kuauthorMutlu, Osman
dc.contributor.kuauthorYoltar, Çağrı
dc.contributor.kuauthorYörük, Erdem
dc.contributor.kuauthorYüret, Deniz
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
dc.date.accessioned2024-11-09T11:55:00Z
dc.date.issued2019
dc.description.abstractWe propose a coherent set of tasks for protest information collection in the context of generalizable natural language processing. The tasks are news article classification, event sentence detection, and event extraction. Having tools for collecting event information from data produced in multiple countries enables comparative sociology and politics studies. We have annotated news articles in English from a source and a target country in order to be able to measure the performance of the tools developed using data from one country on data from a different country. Our preliminary experiments have shown that the performance of the tools developed using English texts from India drops to a level that are not usable when they are applied on English texts from China. We think our setting addresses the challenge of building generalizable NLP tools that perform well independent of the source of the text and will accelerate progress in line of developing generalizable NLP systems.
dc.description.fulltextYES
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuEU
dc.description.sponsorshipEuropean Research Council (ERC) Starting Grant
dc.description.sponsorshipEuropean Union (EU)
dc.description.sponsorshipHorizon 2020
dc.description.versionAuthor's final manuscript
dc.identifier.doi10.1007/978-3-030-15719-7_42
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01543
dc.identifier.isbn978-303015718-0
dc.identifier.issn0302-9743
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85064880449
dc.identifier.urihttps://hdl.handle.net/20.500.14288/813
dc.keywordsBiochemistry and molecular biology
dc.language.isoeng
dc.publisherSpringer
dc.relation.grantno714868
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8129
dc.subjectSociology
dc.subjectConflict
dc.titleA task set proposal for automatic protest information collection across multiple countries
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorHürriyetoğlu, Ali
local.contributor.kuauthorYörük, Erdem
local.contributor.kuauthorYoltar, Çağrı
local.contributor.kuauthorYüret, Deniz
local.contributor.kuauthorGürel, Burak
local.contributor.kuauthorDuruşan, Fırat
local.contributor.kuauthorMutlu, Osman
local.publication.orgunit1GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit2Department of Sociology
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Graduate School of Social Sciences and Humanities
local.publication.orgunit2Graduate School of Sciences and Engineering
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