Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Duruşan, Fırat"'
Autor:
Durusan, Firat
The radical democratic conception of civil society strives for theoretically constructing and politically defending civil society as a social sphere autonomous from both the economy and state. As a position taken against Marxist and liberal theories,
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/12610292/index.pdf
GLOCON is a database of contentious events automatically extracted from national news sources from various countries in multiple languages. National news sources are utilized, and complete news archives are processed to create an event list for each
Externí odkaz:
http://arxiv.org/abs/2405.18613
Autor:
Kına, M. Fuat, Yörük, Erdem, Hürriyetoğlu, Ali, Yardı, Melih Can, Atsızelti, Şükrü, Duruşan, Fırat, Gürerk, Oğuz, Etgü, Tolga, Nişancı, Zübeyir, Mutlu, Osman, Turbic, Gizem Bacaksızlar, Akbulut, Yusuf
This paper tests the validity of a digital trace database (Politus) obtained from Twitter, with a recently conducted representative social survey, focusing on the use case of religiosity in Turkey. Religiosity scores in the research are extracted usi
Externí odkaz:
http://arxiv.org/abs/2310.17220
Autor:
Hürriyetoğlu, Ali, Mutlu, Osman, Duruşan, Fırat, Uca, Onur, Gürel, Alaeddin Selçuk, Radford, Benjamin, Dai, Yaoyao, Hettiarachchi, Hansi, Stoehr, Niklas, Nomoto, Tadashi, Slavcheva, Milena, Vargas, Francielle, Javid, Aaqib, Beyhan, Fatih, Yörük, Erdem
We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) document classification, ii) sentence classification, iii) event sentence co
Externí odkaz:
http://arxiv.org/abs/2211.11360
Autor:
Duruşan, Fırat, Hürriyetoğlu, Ali, Yörük, Erdem, Mutlu, Osman, Yoltar, Çağrı, Gürel, Burak, Comin, Alvaro
The database creation utilized automated text processing tools that detect if a news article contains a protest event, locate protest information within the article, and extract pieces of information regarding the detected protest events. The basis o
Externí odkaz:
http://arxiv.org/abs/2206.10299
Autor:
Hürriyetoğlu, Ali, Mutlu, Osman, Beyhan, Fatih, Duruşan, Fırat, Safaya, Ali, Yeniterzi, Reyyan, Yörük, Erdem
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event information collection has not quantified the contribution of event coreference
Externí odkaz:
http://arxiv.org/abs/2203.10123
Autor:
Hürriyetoğlu, Ali, Yörük, Erdem, Yüret, Deniz, Yoltar, Çağrı, Gürel, Burak, Duruşan, Fırat, Mutlu, Osman, Akdemir, Arda
We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing. The lab consists of document, sentence, and token level information classification and extraction ta
Externí odkaz:
http://arxiv.org/abs/2008.00345
Autor:
Hürriyetoğlu, Ali, Yörük, Erdem, Yüret, Deniz, Mutlu, Osman, Yoltar, Çağrı, Duruşan, Fırat, Gürel, Burak
We describe a gold standard corpus of protest events that comprise of various local and international sources from various countries in English. The corpus contains document, sentence, and token level annotations. This corpus facilitates creating mac
Externí odkaz:
http://arxiv.org/abs/2008.00351
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Akademický článek
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