b'Preslav Nakov'

research

∙ 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 ...

7 Momchil Hardalov, et al. ∙

research

∙ 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...

4 Kristiyan Vachev, et al. ∙

research

∙ 08/29/2021

Interpretable Propaganda Detection in News Articles

Online users today are exposed to misleading and propagandistic news art...

34 Seunghak Yu, et al. ∙

research

∙ 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 ...

9 Krasimira Bozhanova, et al. ∙

research

∙ 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, ...

6 Tariq Alhindi, et al. ∙

research

∙ 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...

0 Dimitar Dimitrov, et al. ∙

research

∙ 04/16/2021

WhatTheWikiFact: Fact-Checking Claims Against Wikipedia

The rise of Internet has made it a major source of information. Unfortun...

0 Anton Chernyavskiy, et al. ∙

research

∙ 04/15/2021

Cross-Domain Label-Adaptive Stance Detection

Stance detection concerns the classification of a writer's viewpoint tow...

15 Momchil Hardalov, et al. ∙

research

∙ 04/15/2021

The Role of Context in Detecting Previously Fact-Checked Claims

Recent years have seen the proliferation of disinformation and misinform...

17 Shaden Shaar, et al. ∙

research

∙ 04/09/2021

Transformers: "The End of History" for NLP?

Recent advances in neural architectures, such as the Transformer, couple...

0 Anton Chernyavskiy, et al. ∙

research

∙ 03/31/2021

A Neighbourhood Framework for Resource-Lean Content Flagging

We propose a novel interpretable framework for cross-lingual content fla...

8 Sheikh Muhammad Sarwar, et al. ∙

research

∙ 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...

19 Preslav Nakov, et al. ∙

research

∙ 03/13/2021

Automated Fact-Checking for Assisting Human Fact-Checkers

The reporting and analysis of current events around the globe has expand...

6 Preslav Nakov, et al. ∙

research

∙ 03/13/2021

A Survey on Multimodal Disinformation Detection

Recent years have witnessed the proliferation of fake news, propaganda, ...

0 Firoj Alam, et al. ∙

research

∙ 02/27/2021

A Survey on Stance Detection for Mis- and Disinformation Identification

Detecting attitudes expressed in texts, also known as stance detection, ...

4 Momchil Hardalov, et al. ∙

research

∙ 02/27/2021

Detecting Abusive Language on Online Platforms: A Critical Analysis

Abusive language on online platforms is a major societal problem, often ...

21 Preslav Nakov, et al. ∙

research

∙ 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...

14 Momchil Hardalov, et al. ∙

research

∙ 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...

14 Ramy Baly, et al. ∙

research

∙ 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...

0 Alex Nikolov, et al. ∙

research

∙ 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...

0 Van-Hoang Nguyen, et al. ∙

research

∙ 08/10/2020

Can We Spot the "Fake News" Before It Was Even Written?

Given the recent proliferation of disinformation online, there has been ...

0 Preslav Nakov, et al. ∙

research

∙ 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...

3 Anton Chernyavskiy, et al. ∙

research

∙ 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...

6 Guillem Ramírez, et al. ∙

research

∙ 07/15/2020

A Survey on Computational Propaganda Detection

Propaganda campaigns aim at influencing people's mindset with the purpos...

0 Giovanni Da San Martino, et al. ∙

research

∙ 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...

0 Alberto Barron-Cedeno, et al. ∙

research

∙ 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...

0 Firoj Alam, et al. ∙

research

∙ 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...

0 Marcos Zampieri, et al. ∙

research

∙ 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...

0 Shaden Shaar, et al. ∙

research

∙ 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...

15 Giovanni Da San Martino, et al. ∙

research

∙ 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 ...

0 Ramy Baly, et al. ∙

research

∙ 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...

0 Firoj Alam, et al. ∙

research

∙ 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...

0 Momchil Hardalov, et al. ∙

research

∙ 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...

0 Sara Rosenthal, et al. ∙

research

∙ 04/08/2020

Poor Man's BERT: Smaller and Faster Transformer Models

The ongoing neural revolution in Natural Language Processing has recentl...

0 Hassan Sajjad, et al. ∙

research

∙ 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...

3 Prakhar Ganesh, et al. ∙

research

∙ 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...

14 Alberto Barron-Cedeno, et al. ∙

research

∙ 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...

0 Pepa Gencheva, et al. ∙

research

∙ 12/14/2019

Proppy: A System to Unmask Propaganda in Online News

We present proppy, the first publicly available real-world, real-time pr...

0 Alberto Barron-Cedeno, et al. ∙

research

∙ 12/14/2019

SemEval-2013 Task 2: Sentiment Analysis in Twitter

In recent years, sentiment analysis in social media has attracted a lot ...

0 Preslav Nakov, et al. ∙

research

∙ 12/06/2019

Machine Translation Evaluation Meets Community Question Answering

We explore the applicability of machine translation evaluation (MTE) met...

0 Francisco Guzmán, et al. ∙

research

∙ 12/06/2019

SemEval-2014 Task 9: Sentiment Analysis in Twitter

We describe the Sentiment Analysis in Twitter task, ran as part of SemEv...

0 Sara Rosenthal, et al. ∙

research

∙ 12/05/2019

Pairwise Neural Machine Translation Evaluation

We present a novel framework for machine translation evaluation using ne...

0 Francisco Guzmán, et al. ∙

research

∙ 12/05/2019

SemEval-2015 Task 10: Sentiment Analysis in Twitter

In this paper, we describe the 2015 iteration of the SemEval shared task...

8 Sara Rosenthal, et al. ∙

research

∙ 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...

0 Evgeni Stefchov, et al. ∙

research

∙ 12/03/2019

SemEval-2016 Task 4: Sentiment Analysis in Twitter

This paper discusses the fourth year of the “Sentiment Analysis in Twitt...

0 Preslav Nakov, et al. ∙

research

∙ 12/03/2019

SemEval-2016 Task 3: Community Question Answering

This paper describes the SemEval–2016 Task 3 on Community Question Answe...

0 Preslav Nakov, et al. ∙

research

∙ 12/02/2019

SemEval-2017 Task 4: Sentiment Analysis in Twitter

This paper describes the fifth year of the Sentiment Analysis in Twitter...

0 Sara Rosenthal, et al. ∙

research

∙ 12/02/2019

SemEval-2017 Task 3: Community Question Answering

We describe SemEval-2017 Task 3 on Community Question Answering. This ye...

11 Preslav Nakov, et al. ∙

research

∙ 11/28/2019

DiscoTK: Using Discourse Structure for Machine Translation Evaluation

We present novel automatic metrics for machine translation evaluation th...

5 Shafiq Joty, et al. ∙

research

∙ 11/28/2019

Language-Independent Sentiment Analysis Using Subjectivity and Positional Information

We describe a novel language-independent approach to the task of determi...

0 Veselin Raychev, et al. ∙

Preslav Nakov

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