30 citations · 59 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
Adversarial Domain Adaptation for Stance Detection
Brian Xu, Mitra Mohtarami, James Glass
This paper studies the problem of stance detection which aims to predict the perspective (or stance) of a given document with respect to a given claim. Stance detection is a major…