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20162022
most citedSemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

448 citations · 1.1k across the 69 of their papers we have counts for

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cs.IR2020

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

Firoj Alam, Fahim Dalvi, Shaden Shaar +8

With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories.…

cs.IR2019

Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection

Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño +4

In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection. Our system relies on a variety of engineered features originally used to detect pr…

cs.IR20195 cited

Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media

Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh +2

In the context of fake news, bias, and propaganda, we study two important but relatively under-explored problems: (i) trustworthiness estimation (on a 3-point scale) and (ii) polit…

cs.IR2018

Predicting Factuality of Reporting and Bias of News Media Sources

Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov +2

We present a study on predicting the factuality of reporting and bias of news media. While previous work has focused on studying the veracity of claims or documents, here we are in…

cs.IR20171 cited

Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task

Valentin Zmiycharov, Dimitar Alexandrov, Preslav Nakov +2

We describe the system that our FMI@SU student's team built for participating in the Triple Scoring task at the WSDM Cup 2017. Given a triple from a "type-like" relation, professio…