Giovanni Da San Martino

Andrea Galassi

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques.

[BibT_eX]

[DOI]

Jakub Piskorski

Nicolas Stefanovitch

Nikolaos Nikolaidis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction.

[BibT_eX]

[DOI]

SIGIR Forum, December, 2022

Accepted Tutorials at The Web Conference 2022.

[BibT_eX]

[DOI]

George Katsogiannis-Meimarakis

Srinivasan H. Sengamedu

Chandan K. Reddy

Friedhelm Victor

Bernhard Haslhofer

Vidhisha Balachandran

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

The Spread of Propaganda by Coordinated Communities on Social Media.

[BibT_eX]

[DOI]

Kristina Hristakieva

Stefano Cresci

Mauro Conti

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic.

[BibT_eX]

[DOI]

Hamdy Mubarak

Wajdi Zaghouani

Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

The Role of Context in Detecting Previously Fact-Checked Claims.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection.

[BibT_eX]

[DOI]

Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2022

Detecting and Understanding Harmful Memes: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document.

[BibT_eX]

[DOI]

Nikola Georgiev

Aisha Mohamed

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2022

A Survey on Multimodal Disinformation Detection.

[BibT_eX]

[DOI]

Hamed Firooz

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims.

[BibT_eX]

[DOI]

CoRR, 2021

Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document.

[BibT_eX]

[DOI]

CoRR, 2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.

[BibT_eX]

[DOI]

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Interpretable Propaganda Detection in News Articles.

[BibT_eX]

[DOI]

Mitra Mohtarami

James R. Glass

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Fact-Checking for Assisting Human Fact-Checkers.

[BibT_eX]

[DOI]

Paolo Papotti

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

Fake News, Disinformation, Propaganda, and Media Bias.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Detecting Propaganda Techniques in Memes.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.

[BibT_eX]

[DOI]

Henning Wachsmuth

Dataset, August, 2020

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.

[BibT_eX]

[DOI]

CoRR, 2020

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.

[BibT_eX]

[DOI]

Henning Wachsmuth

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

A Survey on Computational Propaganda Detection.

[BibT_eX]

[DOI]

Stefano Cresci

Roberto Di Pietro

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2020

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

[BibT_eX]

[DOI]

Ramy Baly

James R. Glass

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media.

[BibT_eX]

[DOI]

Fatima Haouari

Proceedings of the Advances in Information Retrieval, 2020

Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2020, 2020

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

[BibT_eX]

[DOI]

Alex Nikolov

Ivan Koychev

Proceedings of the Working Notes of CLEF 2020, 2020

Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2020, 2020

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

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

[BibT_eX]

[DOI]

Nikolay Babulkov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Prta: A System to Support the Analysis of Propaganda Techniques in the News.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Language processing and learning models for community question answering in Arabic.

[BibT_eX]

[DOI]

Yonatan Belinkov

Inf. Process. Manag., 2019

Proppy: Organizing the news based on their propagandistic content.

[BibT_eX]

[DOI]

Israa Jaradat

Inf. Process. Manag., 2019

Experiments in Detecting Persuasion Techniques in the News.

[BibT_eX]

[DOI]

CoRR, 2019

Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Fine-Grained Analysis of Propaganda in News Articles.

[BibT_eX]

[DOI]

CoRR, 2019

Detecting Propaganda in Online Media.

[BibT_eX]

[DOI]

Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), 2019

Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News.

[BibT_eX]

[DOI]

Daniel Shaprin

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection.

[BibT_eX]

[DOI]

Abdelrhman Saleh

Ramy Baly

Mitra Mohtarami

James R. Glass

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Tanbih: Get To Know What You Are Reading.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Fine-Grained Analysis of Propaganda in News Article.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dense vs. Sparse Representations for News Stream Clustering.

[BibT_eX]

[DOI]

Todor Staykovski

Proceedings of Text2Story, 2019

CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2019, 2019

Efficient Online Learning for Mapping Kernels on Linguistic Structures.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Proppy: A System to Unmask Propaganda in Online News.

[BibT_eX]

[DOI]

Israa Jaradat

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Tree-Based Kernel for Graphs With Continuous Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness.

[BibT_eX]

[DOI]

CoRR, 2018

Extreme Graph Kernels for Online Learning on a Memory Budget.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage.

[BibT_eX]

[DOI]

Ahmed M. Ali

Fahim Dalvi

Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2018, 2018

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness.

[BibT_eX]

[DOI]

Lluís Màrquez

Proceedings of the Working Notes of CLEF 2018, 2018

A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines.

[BibT_eX]

[DOI]

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017

KELP: a Kernel-based Learning Platform.

[BibT_eX]

[DOI]

Giuseppe Castellucci

Danilo Croce

Roberto Basili

J. Mach. Learn. Res., 2017

Cross-Language Question Re-Ranking.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics.

[BibT_eX]

[DOI]

Martin Boyanov

Ivan Koychev

Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

The Impact of Modeling Overall Argumentation with Tree Kernels.

[BibT_eX]

[DOI]

Henning Wachsmuth

Dora Kiesel

Benno Stein

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2017

2016

An empirical study on budget-aware online kernel algorithms for streams of graphs.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Ordered Decompositional DAG kernels enhancements.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Addressing Community Question Answering in English and Arabic.

[BibT_eX]

[DOI]

CoRR, 2016

Ordinal Text Quantification.

[BibT_eX]

[DOI]

Wei Gao

Fabrizio Sebastiani

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification.

[BibT_eX]

[DOI]

Wei Gao

Fabrizio Sebastiani

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Neural Attention for Learning to Rank Questions in Community Question Answering.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

An Interactive System for Exploring Community Question Answering Forums.

[BibT_eX]

[DOI]

Enamul Hoque

Shafiq R. Joty

Lluís Màrquez

Proceedings of the COLING 2016, 2016

Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

Learning to Re-Rank Questions in Community Question Answering Using Advanced Features.

[BibT_eX]

[DOI]

Antonio Uva

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

An Efficient Topological Distance-Based Tree Kernel.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English.

[BibT_eX]

[DOI]

Massimo Nicosia

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Exploiting the ODD framework to define a novel effective graph kernel.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Global Thread-level Inference for Comment Classification in Community Question Answering.

[BibT_eX]

[DOI]

Shafiq R. Joty

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Structural Representations for Learning Relations between Pairs of Texts.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Thread-Level Information for Comment Classification in Community Question Answering.

[BibT_eX]

[DOI]

2014

Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

Improving biomarker list stability by integration of biological knowledge in the learning process.

[BibT_eX]

[DOI]

Tiziana Sanavia

Andrea Bisognin

Barbara Di Camillo

BMC Bioinform., 2012

A Tree-Based Kernel for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A memory efficient graph kernel.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Extending Tree Kernels with Topological Information.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Sparsity Issues in Self-Organizing-Maps for Structures.

[BibT_eX]

[DOI]

Ah Chung Tsoi

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Mining Structured Data.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2010

A New Tree Kernel Based on SOM-SD.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2010

2009

Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Kernel Methods for Tree Structured Data.

[BibT_eX]

[DOI]

PhD thesis, 2009

Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Route kernels for trees.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

A Kernel Method for the Optimization of the Margin Distribution.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

2007

"Kernelized" Self-Organizing Maps for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Efficient Kernel-based Learning for Trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

A New Swarm Intelligence Coordination Model Inspired by Collective Prey Retrieval and Its Application to Image Alignment.

[BibT_eX]

[DOI]

Franco Alberto Cardillo

Antonina Starita

Proceedings of the Parallel Problem Solving from Nature, 2006

Fast On-line Kernel Learning for Trees.

[BibT_eX]

[DOI]