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20182021
most citedAdversarial Domain Adaptation for Stance Detection

22 citations · 29 across the 5 of their papers we have counts for

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8 papers · 1 filter

cs.CL20211 cited

Interpretable Propaganda Detection in News Articles

Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami +2

Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to…

cs.CL20191 cited

Contrastive Language Adaptation for Cross-Lingual Stance Detection

Mitra Mohtarami, James Glass, Preslav Nakov

We study cross-lingual stance detection, which aims to leverage labeled data in one language to identify the relative perspective (or stance) of a given document with respect to a…

cs.CL2019

Automatic Fact-Checking Using Context and Discourse Information

Pepa Atanasova, Preslav Nakov, Lluís Màrquez +5

We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-w…

cs.CL20194 cited

FAKTA: An Automatic End-to-End Fact Checking System

Moin Nadeem, Wei Fang, Brian Xu +2

We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability…

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…