5 citations · 11 across the 6 of their papers we have counts for
7 papers · 1 filter
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12
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) docume…
Utilizing coarse-grained data in low-data settings for event extraction
Osman Mutlu
Annotating text data for event information extraction systems is hard, expensive, and error-prone. We investigate the feasibility of integrating coarse-grained data (document or se…
Event Coreference Resolution for Contentious Politics Events
Ali Hürriyetoğlu, Osman Mutlu, Fatih Beyhan +4
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 informatio…
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules
Ali Hürriyetoğlu, Ali Safaya, Nelleke Oostdijk +2
In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules. While both of the deep l…
Cross-context News Corpus for Protest Events related Knowledge Base Construction
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret +4
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, sente…
Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret +5
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,…