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20182020
most citedArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets

36 citations · 43 across the 5 of their papers we have counts for

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cs.CL2020

We Can Detect Your Bias: Predicting the Political Ideology of News Articles

Ramy Baly, Giovanni Da San Martino, James Glass +1

We explore the task of predicting the leading political ideology or bias of news articles. First, we collect and release a large dataset of 34,737 articles that were manually annot…

cs.CL2020

What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context

Ramy Baly, Georgi Karadzhov, Jisun An +5

Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly importan…

cs.CL20191 cited

Tanbih: Get To Know What You Are Reading

Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10

We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…

cs.CL201936 cited

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets

Ramy Baly, Alaa Khaddaj, Hazem Hajj +2

Sentiment analysis is a highly subjective and challenging task. Its complexity further increases when applied to the Arabic language, mainly because of the large variety of dialect…

cs.CL20191 cited

SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums

Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova +3

We present SemEval-2019 Task 8 on Fact Checking in Community Question Answering Forums, which features two subtasks. Subtask A is about deciding whether a question asks for factual…

cs.CL2018

Integrating Stance Detection and Fact Checking in a Unified Corpus

Ramy Baly, Mitra Mohtarami, James Glass +3

A reasonable approach for fact checking a claim involves retrieving potentially relevant documents from different sources (e.g., news websites, social media, etc.), determining the…