Preslav Nakov

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National University of Singapore ∙ Hamad Bin Khalifa University ∙ Qatar Foundation

Senior Scientist at the Qatar Computing Research Institute.

A Neighbourhood Framework for Resource-Lean Content Flagging

We propose a novel interpretable framework for cross-lingual content fla...
03/31/2021 ∙ by Sheikh Muhammad Sarwar, et al. ∙ 8 ∙ share

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A Survey on Predicting the Factuality and the Bias of News Media

The present level of proliferation of fake, biased, and propagandistic c...
03/16/2021 ∙ by Preslav Nakov, et al. ∙ 19 ∙ share

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Automated Fact-Checking for Assisting Human Fact-Checkers

The reporting and analysis of current events around the globe has expand...
03/13/2021 ∙ by Preslav Nakov, et al. ∙ 6 ∙ share

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A Survey on Multimodal Disinformation Detection

Recent years have witnessed the proliferation of fake news, propaganda, ...
03/13/2021 ∙ by Firoj Alam, et al. ∙ 0 ∙ share

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A Survey on Stance Detection for Mis- and Disinformation Identification

Detecting attitudes expressed in texts, also known as stance detection, ...
02/27/2021 ∙ by Momchil Hardalov, et al. ∙ 4 ∙ share

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Detecting Abusive Language on Online Platforms: A Critical Analysis

Abusive language on online platforms is a major societal problem, often ...
02/27/2021 ∙ by Preslav Nakov, et al. ∙ 21 ∙ share

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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...
11/05/2020 ∙ by Momchil Hardalov, et al. ∙ 14 ∙ share

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We Can Detect Your Bias: Predicting the Political Ideology of News Articles

We explore the task of predicting the leading political ideology or bias...
10/11/2020 ∙ by Ramy Baly, et al. ∙ 14 ∙ share

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Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

While misinformation and disinformation have been thriving in social med...
09/07/2020 ∙ by Alex Nikolov, et al. ∙ 0 ∙ share

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FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

We propose Factual News Graph (FANG), a novel graphical social context r...
08/18/2020 ∙ by Van-Hoang Nguyen, et al. ∙ 0 ∙ share

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

Given the recent proliferation of disinformation online, there has been ...
08/10/2020 ∙ by Preslav Nakov, et al. ∙ 0 ∙ share

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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...
08/06/2020 ∙ by Anton Chernyavskiy, et al. ∙ 3 ∙ share

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On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning

The emergence of unsupervised word embeddings, pre-trained on very large...
07/18/2020 ∙ by Guillem Ramírez, et al. ∙ 6 ∙ share

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A Survey on Computational Propaganda Detection

Propaganda campaigns aim at influencing people's mindset with the purpos...
07/15/2020 ∙ by Giovanni Da San Martino, et al. ∙ 0 ∙ share

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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...
07/15/2020 ∙ by Alberto Barron-Cedeno, et al. ∙ 0 ∙ share

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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...
07/15/2020 ∙ by Firoj Alam, et al. ∙ 0 ∙ share

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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...
06/12/2020 ∙ by Marcos Zampieri, et al. ∙ 0 ∙ share

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That is a Known Lie: Detecting Previously Fact-Checked Claims

The recent proliferation of "fake news" has triggered a number of respon...
05/12/2020 ∙ by Shaden Shaar, et al. ∙ 0 ∙ share

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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...
05/12/2020 ∙ by Giovanni Da San Martino, et al. ∙ 15 ∙ share

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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 ...
05/09/2020 ∙ by Ramy Baly, et al. ∙ 0 ∙ share

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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...
04/30/2020 ∙ by Firoj Alam, et al. ∙ 0 ∙ share

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Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection

Detecting the user's intent and finding the corresponding slots among th...
04/30/2020 ∙ by Momchil Hardalov, et al. ∙ 0 ∙ share

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A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

The use of offensive language is a major problem in social media which h...
04/29/2020 ∙ by Sara Rosenthal, et al. ∙ 0 ∙ share

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Poor Man's BERT: Smaller and Faster Transformer Models

The ongoing neural revolution in Natural Language Processing has recentl...
04/08/2020 ∙ by Hassan Sajjad, et al. ∙ 0 ∙ share

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Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

Transformer-based models pre-trained on large-scale corpora achieve stat...
02/27/2020 ∙ by Prakhar Ganesh, et al. ∙ 3 ∙ share

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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...
01/21/2020 ∙ by Alberto Barron-Cedeno, et al. ∙ 14 ∙ share

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A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates

In the context of investigative journalism, we address the problem of au...
12/14/2019 ∙ by Pepa Gencheva, et al. ∙ 0 ∙ share

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Proppy: A System to Unmask Propaganda in Online News

We present proppy, the first publicly available real-world, real-time pr...
12/14/2019 ∙ by Alberto Barron-Cedeno, et al. ∙ 0 ∙ share

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SemEval-2013 Task 2: Sentiment Analysis in Twitter

In recent years, sentiment analysis in social media has attracted a lot ...
12/14/2019 ∙ by Preslav Nakov, et al. ∙ 0 ∙ share

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Machine Translation Evaluation Meets Community Question Answering

We explore the applicability of machine translation evaluation (MTE) met...
12/06/2019 ∙ by Francisco Guzmán, et al. ∙ 0 ∙ share

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SemEval-2014 Task 9: Sentiment Analysis in Twitter

We describe the Sentiment Analysis in Twitter task, ran as part of SemEv...
12/06/2019 ∙ by Sara Rosenthal, et al. ∙ 0 ∙ share

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Pairwise Neural Machine Translation Evaluation

We present a novel framework for machine translation evaluation using ne...
12/05/2019 ∙ by Francisco Guzmán, et al. ∙ 0 ∙ share

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SemEval-2015 Task 10: Sentiment Analysis in Twitter

In this paper, we describe the 2015 iteration of the SemEval shared task...
12/05/2019 ∙ by Sara Rosenthal, et al. ∙ 8 ∙ share

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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...
12/04/2019 ∙ by Evgeni Stefchov, et al. ∙ 0 ∙ share

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SemEval-2016 Task 4: Sentiment Analysis in Twitter

This paper discusses the fourth year of the “Sentiment Analysis in Twitt...
12/03/2019 ∙ by Preslav Nakov, et al. ∙ 0 ∙ share

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SemEval-2016 Task 3: Community Question Answering

This paper describes the SemEval–2016 Task 3 on Community Question Answe...
12/03/2019 ∙ by Preslav Nakov, et al. ∙ 0 ∙ share

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SemEval-2017 Task 4: Sentiment Analysis in Twitter

This paper describes the fifth year of the Sentiment Analysis in Twitter...
12/02/2019 ∙ by Sara Rosenthal, et al. ∙ 0 ∙ share

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SemEval-2017 Task 3: Community Question Answering

We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
12/02/2019 ∙ by Preslav Nakov, et al. ∙ 11 ∙ share

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DiscoTK: Using Discourse Structure for Machine Translation Evaluation

We present novel automatic metrics for machine translation evaluation th...
11/28/2019 ∙ by Shafiq Joty, et al. ∙ 5 ∙ share

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Language-Independent Sentiment Analysis Using Subjectivity and Positional Information

We describe a novel language-independent approach to the task of determi...
11/28/2019 ∙ by Veselin Raychev, et al. ∙ 0 ∙ share

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Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction

We describe the design, the evaluation setup, and the results of the 201...
11/27/2019 ∙ by Liane Guillou, et al. ∙ 13 ∙ share

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Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus

Responding to the need for semantic lexical resources in natural languag...
11/27/2019 ∙ by Su Nam Kim, et al. ∙ 24 ∙ share

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Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian

We present experiments with part-of-speech tagging for Bulgarian, a Slav...
11/26/2019 ∙ by Georgi Georgiev, et al. ∙ 5 ∙ share

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SemEval-2015 Task 3: Answer Selection in Community Question Answering

Community Question Answering (cQA) provides new interesting research dir...
11/26/2019 ∙ by Preslav Nakov, et al. ∙ 5 ∙ share

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SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

In response to the continuing research interest in computational semanti...
11/23/2019 ∙ by Iris Hendrickx, et al. ∙ 6 ∙ share

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SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

In this paper, we describe SemEval-2013 Task 4: the definition, the data...
11/23/2019 ∙ by Iris Hendrickx, et al. ∙ 8 ∙ share

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Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics

An important characteristic of English written text is the abundance of ...
11/23/2019 ∙ by Preslav Nakov, et al. ∙ 0 ∙ share

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Paraphrasing Verbs for Noun Compound Interpretation

An important challenge for the automatic analysis of English written tex...
11/20/2019 ∙ by Preslav Nakov, et al. ∙ 6 ∙ share

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Global Thread-Level Inference for Comment Classification in Community Question Answering

Community question answering, a recent evolution of question answering i...
11/20/2019 ∙ by Shafiq Joty, et al. ∙ 8 ∙ share

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SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings

We describe our system for finding good answers in a community forum, as...
11/20/2019 ∙ by Todor Mihaylov, et al. ∙ 5 ∙ share

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Preslav Nakov

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