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A Neighbourhood Framework for Resource-Lean Content Flagging
We propose a novel interpretable framework for cross-lingual content fla...
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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...
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Automated Fact-Checking for Assisting Human Fact-Checkers
The reporting and analysis of current events around the globe has expand...
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A Survey on Multimodal Disinformation Detection
Recent years have witnessed the proliferation of fake news, propaganda, ...
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A Survey on Stance Detection for Mis- and Disinformation Identification
Detecting attitudes expressed in texts, also known as stance detection, ...
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Detecting Abusive Language on Online Platforms: A Critical Analysis
Abusive language on online platforms is a major societal problem, often ...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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A Survey on Computational Propaganda Detection
Propaganda campaigns aim at influencing people's mindset with the purpos...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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Poor Man's BERT: Smaller and Faster Transformer Models
The ongoing neural revolution in Natural Language Processing has recentl...
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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...
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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...
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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...
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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...
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SemEval-2013 Task 2: Sentiment Analysis in Twitter
In recent years, sentiment analysis in social media has attracted a lot ...
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Machine Translation Evaluation Meets Community Question Answering
We explore the applicability of machine translation evaluation (MTE) met...
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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...
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Pairwise Neural Machine Translation Evaluation
We present a novel framework for machine translation evaluation using ne...
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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...
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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...
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SemEval-2016 Task 4: Sentiment Analysis in Twitter
This paper discusses the fourth year of the “Sentiment Analysis in Twitt...
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SemEval-2016 Task 3: Community Question Answering
This paper describes the SemEval–2016 Task 3 on Community Question Answe...
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SemEval-2017 Task 4: Sentiment Analysis in Twitter
This paper describes the fifth year of the Sentiment Analysis in Twitter...
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SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
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DiscoTK: Using Discourse Structure for Machine Translation Evaluation
We present novel automatic metrics for machine translation evaluation th...
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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...
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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...
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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...
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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...
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SemEval-2015 Task 3: Answer Selection in Community Question Answering
Community Question Answering (cQA) provides new interesting research dir...
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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...
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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...
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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 ...
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Paraphrasing Verbs for Noun Compound Interpretation
An important challenge for the automatic analysis of English written tex...
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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...
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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...
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