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09/13/2021
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
The goal of stance detection is to determine the viewpoint expressed in ...
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08/29/2021
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
In education, open-ended quiz questions have become an important tool fo...
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08/29/2021
Interpretable Propaganda Detection in News Articles
Online users today are exposed to misleading and propagandistic news art...
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08/27/2021
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
We propose a novel framework for predicting the factuality of reporting ...
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04/28/2021
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
With the continuing spread of misinformation and disinformation online, ...
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04/25/2021
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in...
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04/16/2021
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
The rise of Internet has made it a major source of information. Unfortun...
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04/15/2021
Cross-Domain Label-Adaptive Stance Detection
Stance detection concerns the classification of a writer's viewpoint tow...
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04/15/2021
The Role of Context in Detecting Previously Fact-Checked Claims
Recent years have seen the proliferation of disinformation and misinform...
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04/09/2021
Transformers: "The End of History" for NLP?
Recent advances in neural architectures, such as the Transformer, couple...
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03/31/2021
A Neighbourhood Framework for Resource-Lean Content Flagging
We propose a novel interpretable framework for cross-lingual content fla...
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03/16/2021
A Survey on Predicting the Factuality and the Bias of News Media
The present level of proliferation of fake, biased, and propagandistic c...
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03/13/2021
Automated Fact-Checking for Assisting Human Fact-Checkers
The reporting and analysis of current events around the globe has expand...
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03/13/2021
A Survey on Multimodal Disinformation Detection
Recent years have witnessed the proliferation of fake news, propaganda, ...
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02/27/2021
A Survey on Stance Detection for Mis- and Disinformation Identification
Detecting attitudes expressed in texts, also known as stance detection, ...
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02/27/2021
Detecting Abusive Language on Online Platforms: A Critical Analysis
Abusive language on online platforms is a major societal problem, often ...
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11/05/2020
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering
We propose EXAMS – a new benchmark dataset for cross-lingual and multili...
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10/11/2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
We explore the task of predicting the leading political ideology or bias...
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09/07/2020
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
While misinformation and disinformation have been thriving in social med...
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08/18/2020
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
We propose Factual News Graph (FANG), a novel graphical social context r...
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08/10/2020
Can We Spot the "Fake News" Before It Was Even Written?
Given the recent proliferation of disinformation online, there has been ...
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08/06/2020
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
We describe our system for SemEval-2020 Task 11 on Detection of Propagan...
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07/18/2020
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
The emergence of unsupervised word embeddings, pre-trained on very large...
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07/15/2020
A Survey on Computational Propaganda Detection
Propaganda campaigns aim at influencing people's mindset with the purpos...
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07/15/2020
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
We present an overview of the third edition of the CheckThat! Lab at CLE...
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07/15/2020
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
With the outbreak of the COVID-19 pandemic, people turned to social medi...
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06/12/2020
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Mult...
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05/12/2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
The recent proliferation of "fake news" has triggered a number of respon...
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05/12/2020
Prta: A System to Support the Analysis of Propaganda Techniques in the News
Recent events, such as the 2016 US Presidential Campaign, Brexit and the...
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05/09/2020
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
Predicting the political bias and the factuality of reporting of entire ...
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04/30/2020
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Disinformation, i.e., information that is both false and means harm, thr...
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04/30/2020
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection
Detecting the user's intent and finding the corresponding slots among th...
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04/29/2020
A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
The use of offensive language is a major problem in social media which h...
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04/08/2020
Poor Man's BERT: Smaller and Faster Transformer Models
The ongoing neural revolution in Natural Language Processing has recentl...
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02/27/2020
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Transformer-based models pre-trained on large-scale corpora achieve stat...
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01/21/2020
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
We describe the third edition of the CheckThat! Lab, which is part of th...
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12/14/2019
A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates
In the context of investigative journalism, we address the problem of au...
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12/14/2019
Proppy: A System to Unmask Propaganda in Online News
We present proppy, the first publicly available real-world, real-time pr...
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12/14/2019
SemEval-2013 Task 2: Sentiment Analysis in Twitter
In recent years, sentiment analysis in social media has attracted a lot ...
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12/06/2019
Machine Translation Evaluation Meets Community Question Answering
We explore the applicability of machine translation evaluation (MTE) met...
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12/06/2019
SemEval-2014 Task 9: Sentiment Analysis in Twitter
We describe the Sentiment Analysis in Twitter task, ran as part of SemEv...
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12/05/2019
Pairwise Neural Machine Translation Evaluation
We present a novel framework for machine translation evaluation using ne...
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12/05/2019
SemEval-2015 Task 10: Sentiment Analysis in Twitter
In this paper, we describe the 2015 iteration of the SemEval shared task...
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12/04/2019
Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts
We present the construction of an annotated corpus of PubMed abstracts r...
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12/03/2019
SemEval-2016 Task 4: Sentiment Analysis in Twitter
This paper discusses the fourth year of the “Sentiment Analysis in Twitt...
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12/03/2019
SemEval-2016 Task 3: Community Question Answering
This paper describes the SemEval–2016 Task 3 on Community Question Answe...
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12/02/2019
SemEval-2017 Task 4: Sentiment Analysis in Twitter
This paper describes the fifth year of the Sentiment Analysis in Twitter...
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12/02/2019
SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
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11/28/2019
DiscoTK: Using Discourse Structure for Machine Translation Evaluation
We present novel automatic metrics for machine translation evaluation th...
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11/28/2019