Piotr Przybyla

According to our database, Piotr Przybyla authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.

Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh

Proceedings of the Advances in Information Retrieval, 2024

2023

BODEGA: Benchmark for Adversarial Example Generation in Credibility Assessment.

Piotr Przybyla, Alexander V. Shvets, Horacio Saggion

CoRR, 2023

I've Seen Things You Machines Wouldn't Believe: Measuring Content Predictability to Identify Automatically-Generated Text.

Piotr Przybyla, Nicolau Duran-Silva, Santiago Egea Gómez

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions.

Piotr Przybyla, Horacio Saggion

Proceedings of the Workshop on NLP applied to Misinformation co-located with 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond.

Piotr Przybyla, Konrad Kaczynski

Proceedings of the Workshop on NLP applied to Misinformation co-located with 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

PolEval 2022/23 Challenge Tasks and Results.

Lukasz Kobylinski, Maciej Ogrodniczuk, Piotr Rybak, Piotr Przybyla, Piotr Pezik, Agnieszka Mikolajczyk, Wojciech Janowski, Michal Marcinczuk, Aleksander Smywinski-Pohl

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies.

Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk

CoRR, 2022

Deanthropomorphising NLP: Can a Language Model Be Conscious?

Matthew Shardlow, Piotr Przybyla

CoRR, 2022

Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach.

Piotr Przybyla, Piotr Borkowski, Konrad Kaczynski

Proceedings of the International Joint Conference on Neural Networks, 2022

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences.

Piotr Przybyla, Matthew Shardlow

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

2021

When classification accuracy is not enough: Explaining news credibility assessment.

Piotr Przybyla, Axel J. Soto

Inf. Process. Manag., 2021

The Role of Text Simplification Operations in Evaluation.

Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou

Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS 2021) co-located with the 37th Conference of the Spanish Society for Natural Language Processing (SEPLN2021), 2021

HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection.

Konrad Kaczynski, Piotr Przybyla

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

Investigating Text Simplification Evaluation.

Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multi-Word Lexical Simplification.

Piotr Przybyla, Matthew Shardlow

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Capturing the Style of Fake News.

Piotr Przybyla

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving reference prioritisation with PICO recognition.

Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou

BMC Medical Informatics Decis. Mak., 2019

Quantifying risk factors in medical reports with a context-aware linear model.

Piotr Przybyla, Austin J. Brockmeier, Sophia Ananiadou

J. Am. Medical Informatics Assoc., 2019

Thalia: semantic search engine for biomedical abstracts.

Axel J. Soto, Piotr Przybyla, Sophia Ananiadou

Bioinform., 2019

Detecting Bot Accounts on Twitter by Measuring Message Predictability.

Piotr Przybyla

Proceedings of the Working Notes of CLEF 2019, 2019

The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab.

Jakub Gasior, Piotr Przybyla

Proceedings of the Working Notes of CLEF 2019, 2019

2017

A semi-supervised approach using label propagation to support citation screening.

Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou

J. Biomed. Informatics, 2017

How big is big enough? Unsupervised word sense disambiguation using a very large corpus.

Piotr Przybyla

CoRR, 2017

Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia.

Piotr Przybyla, Axel J. Soto, Sophia Ananiadou

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

2016

Boosting Question Answering by Deep Entity Recognition.

Piotr Przybyla

CoRR, 2016

Text mining resources for the life sciences.

Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou

Database J. Biol. Databases Curation, 2016

NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features.

Piotr Przybyla, Nhung T. H. Nguyen, Matthew Shardlow, Georgios Kontonatsios, Sophia Ananiadou

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

2015

Gathering Knowledge for Question Answering Beyond Named Entities.

Piotr Przybyla

Proceedings of the Natural Language Processing and Information Systems, 2015

What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling.

Piotr Przybyla, Pawel Teisseyre

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Analysing Utterances in Polish Parliament to Predict Speaker's Background.

Piotr Przybyla, Pawel Teisseyre

J. Quant. Linguistics, 2014

Diffusion of Innovation within an Agent-Based Model: Spinsons, Independence and Advertising.

Piotr Przybyla, Katarzyna Sznajd-Weron, Rafal Weron

Adv. Complex Syst., 2014

2013

Question Classification for Polish Question Answering.

Piotr Przybyla

Proceedings of the Language Processing and Intelligent Information Systems, 2013

Question Analysis for Polish Question Answering.

Piotr Przybyla

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013