most citedExtracting actionable information from microtexts

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Tense, aspect and mood based event extraction for situation analysis and crisis management

Ali Hürriyetoğlu

Nowadays event extraction systems mainly deal with a relatively small amount of information about temporal and modal qualifications of situations, primarily processing assertive se…

cs.CL20205 cited

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…

cs.CL2020

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,…

cs.CL20207 cited

Extracting actionable information from microtexts

Ali Hürriyetoğlu

Microblogs such as Twitter represent a powerful source of information. Part of this information can be aggregated beyond the level of individual posts. Some of this aggregated info…

cs.CL20201 cited

Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report

Ali Hürriyetoğlu, Vanni Zavarella, Hristo Tanev +3

We describe our effort on automated extraction of socio-political events from news in the scope of a workshop and a shared task we organized at Language Resources and Evaluation Co…