activity
20172020
most citedEmbedding-based Qualitative Analysis of Polarization in Turkey

3 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL2020

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

Fatima Haouari, Maram Hasanain, Reem Suwaileh +1

In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021. ArCOV-19 is the…

cs.CL20201 cited

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +4

We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related ta…

cs.SI20193 cited

Embedding-based Qualitative Analysis of Polarization in Turkey

Mucahid Kutlu, Kareem Darwish, Cansin Bayrak +2

On June 24, 2018, Turkey conducted a highly-consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential…

cs.CL2018

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness

Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed +5

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to pr…

cs.SI2018

Devam vs. Tamam: 2018 Turkish Elections

Mucahid Kutlu, Kareem Darwish, Tamer Elsayed

On June 24, 2018, Turkey held a historical election, transforming its parliamentary system to a presidential one. One of the main questions for Turkish voters was whether to start…

cs.IR2018

Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably

Mucahid Kutlu, Tyler McDonnell, Aashish Sheshadri +2

Crowdsourcing offers an affordable and scalable means to collect relevance judgments for IR test collections. However, crowd assessors may show higher variance in judgment quality…