96 citations · 279 across the 19 of their papers we have counts for
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Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims
Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño +4
We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab featured two tasks in two different languages: English and Arabic. Task 1 (English) challen…
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…
A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3
Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of…
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +9
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic. The first four tasks com…
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction
Cristina España-Bonet, Alberto Barrón-Cedeño, Lluís Màrquez
We propose an automatic language-independent graph-based method to build à-la-carte article collections on user-defined domains from the Wikipedia. The core model is based on the e…
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +4
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related ta…
Proppy: A System to Unmask Propaganda in Online News
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat +1
We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the im…
Global Thread-Level Inference for Comment Classification in Community Question Answering
Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino +4
Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic,…
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov
We present the shared task on Fine-Grained Propaganda Detection, which was organized as part of the NLP4IF workshop at EMNLP-IJCNLP 2019. There were two subtasks. FLC is a fragment…
Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2
Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda. Previous work has addressed propaganda detection at the document level, typically l…
Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
Slavena Vasileva, Pepa Atanasova, Lluís Màrquez +2
We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates. Given a political debate, such as the 2016 US Presidential and Vi…
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…
Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus
Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño +2
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties. Therefore, studying t…
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed +5
We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to pr…
ClaimRank: Detecting Check-Worthy Claims in Arabic and English
Israa Jaradat, Pepa Gencheva, Alberto Barron-Cedeno +2
We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews…
Fact Checking in Community Forums
Tsvetomila Mihaylova, Preslav Nakov, Lluis Marquez +4
Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information. Unfortunately,…
Cross-Language Question Re-Ranking
Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno +4
We study how to find relevant questions in community forums when the language of the new questions is different from that of the existing questions in the forum. In particular, we…
Fully Automated Fact Checking Using External Sources
Georgi Karadzhov, Preslav Nakov, Lluis Marquez +2
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from…
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification
Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño +1
End-to-end neural machine translation has overtaken statistical machine translation in terms of translation quality for some language pairs, specially those with large amounts of p…
Addressing Community Question Answering in English and Arabic
Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo +5
This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released…