NLPExplorer

Ramy Baly

Number of Papers:- 15

Number of Citations:- 39

First ACL Paper:- 2014

Latest ACL Paper:- 2020

Venues:-

NAACL

WANLP

ACL

*SEMEVAL

EMNLP

COLING

Co-Authors:-

Abdelrhman Saleh

Ahmad Al Sallab

Ahmed Ali

Alberto Barron Cedeno

Alessandro Moschitti

Similar Authors:-

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

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

Ramy Baly | Giovanni Da San Martino | James Glass | Preslav Nakov |

Tanbih: Get To Know What You Are Reading EMNLP

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

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

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

Predicting Factuality of Reporting and Bias of News Media Sources EMNLP

Automatic Stance Detection Using End-to-End Memory Networks NAACL

Integrating Stance Detection and Fact Checking in a Unified Corpus NAACL

OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model *SEMEVAL

Ramy Baly

Number of Papers:- 15

Number of Citations:- 39

First ACL Paper:- 2014

Latest ACL Paper:- 2020

Venues:-

Co-Authors:-

Similar Authors:-

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

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

Tanbih: Get To Know What You Are Reading EMNLP

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

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

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

Predicting Factuality of Reporting and Bias of News Media Sources EMNLP

Automatic Stance Detection Using End-to-End Memory Networks NAACL

Integrating Stance Detection and Fact Checking in a Unified Corpus NAACL

OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model *SEMEVAL

A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models WANLP WS

Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings COLING

Deep Learning Models for Sentiment Analysis in Arabic WANLP WS

A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets WANLP WS

A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining WANLP WS