Question Analysis for Polish Question Answering. - Piotr Przybyla (ACL (Student Research Workshop), 2013)

Question Classification for Polish Question Answering. - Piotr Przybyla (IIS, 2013)

Diffusion of Innovation within an Agent-Based Model: Spinsons, Independence and Advertising. - Piotr Przybyla; Katarzyna Sznajd-Weron; Rafal Weron (Adv. Complex Syst., 2014)

Analysing Utterances in Polish Parliament to Predict Speaker's Background. - Piotr Przybyla; Pawel Teisseyre (J. Quant. Linguistics, 2014)

What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling. - Piotr Przybyla; Pawel Teisseyre (CLEF (Working Notes), 2015)

Gathering Knowledge for Question Answering Beyond Named Entities. - Piotr Przybyla (NLDB, 2015)

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 001; Matthew Shardlow; Georgios Kontonatsios; Sophia Ananiadou (SemEval@NAACL-HLT, 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)

Boosting Question Answering by Deep Entity Recognition. - Piotr Przybyla (CoRR, 2016)

Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia. - Piotr Przybyla; Axel J. Soto; Sophia Ananiadou (TREC, 2017)

How big is big enough? Unsupervised word sense disambiguation using a very large corpus. - Piotr Przybyla (CoRR, 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)

The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab. - Jakub Gasior; Piotr Przybyla (CLEF (Working Notes), 2019)

Detecting Bot Accounts on Twitter by Measuring Message Predictability. - Piotr Przybyla (CLEF (Working Notes), 2019)

Thalia: semantic search engine for biomedical abstracts. - Axel J. Soto; Piotr Przybyla; Sophia Ananiadou (Bioinform., 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)

Improving reference prioritisation with PICO recognition. - Austin J. Brockmeier; Meizhi Ju; Piotr Przybyla; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2019)

Capturing the Style of Fake News. - Piotr Przybyla (AAAI, 2020)

Multi-Word Lexical Simplification. - Piotr Przybyla; Matthew Shardlow (COLING, 2020)

Investigating Text Simplification Evaluation. - Laura Vásquez-Rodríguez; Matthew Shardlow; Piotr Przybyla; Sophia Ananiadou (ACL/IJCNLP (Findings), 2021)

HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection. - Konrad Kaczynski; Piotr Przybyla (SemEval@ACL/IJCNLP, 2021)

The Role of Text Simplification Operations in Evaluation. - Laura Vásquez-Rodríguez; Matthew Shardlow; Piotr Przybyla; Sophia Ananiadou (CTTS@SEPLN, 2021)

When classification accuracy is not enough: Explaining news credibility assessment. - Piotr Przybyla; Axel J. Soto (Inf. Process. Manag., 2021)

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences. - Piotr Przybyla; Matthew Shardlow (ACL (Findings), 2022)

Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. - Piotr Przybyla; Piotr Borkowski; Konrad Kaczynski (IJCNN, 2022)

Deanthropomorphising NLP: Can a Language Model Be Conscious? - Matthew Shardlow; Piotr Przybyla (CoRR, 2022)

Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies. - Piotr Rybak; Piotr Przybyla; Maciej Ogrodniczuk (CoRR, 2022)

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 (FedCSIS, 2023)

Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond. - Piotr Przybyla; Konrad Kaczynski (NLP-MisInfo@SEPLN, 2023)

ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions. - Piotr Przybyla; Horacio Saggion (NLP-MisInfo@SEPLN, 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 (IberLEF@SEPLN, 2023)

BODEGA: Benchmark for Adversarial Example Generation in Credibility Assessment. - Piotr Przybyla; Alexander V. Shvets; Horacio Saggion (CoRR, 2023)

Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. - Alberto Barrón-Cedeño; Firoj Alam; Julia Maria Struß; Preslav Nakov; Tanmoy Chakraborty 002; Tamer Elsayed; Piotr Przybyla; Tommaso Caselli; Giovanni Da San Martino; Fatima Haouari; Maram Hasanain; Chengkai Li 001; et al. (CLEF (2), 2024)

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). - Piotr Przybyla; Ben Wu 001; Alexander V. Shvets; Yida Mu; Kim Cheng Sheang; Xingyi Song; Horacio Saggion (CLEF (Working Notes), 2024)

PolQA: Polish Question Answering Dataset. - Piotr Rybak; Piotr Przybyla; Maciej Ogrodniczuk (LREC/COLING, 2024)

The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. - Alberto Barrón-Cedeño; Firoj Alam; Tanmoy Chakraborty 002; Tamer Elsayed; Preslav Nakov; Piotr Przybyla; Julia Maria Struß; Fatima Haouari; Maram Hasanain; Federico Ruggeri; Xingyi Song; Reem Suwaileh (ECIR (5), 2024)

Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning. - Piotr Przybyla; Euan McGill; Horacio Saggion (WASSA, 2024)

TRIBBLE - TRanslating IBerian languages Based on Limited E-resources. - Igor Kuzmin; Piotr Przybyla; Euan McGill; Horacio Saggion (WMT, 2024)

Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models. - Piotr Przybyla (CoRR, 2024)

Simple is not Enough: Document-level Text Simplification using Readability and Coherence. - Laura Vásquez-Rodríguez; Nhung T. H. Nguyen 001; Piotr Przybyla; Matthew Shardlow; Sophia Ananiadou (CoRR, 2024)

Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues. - Matthew Shardlow; Ashley Williams; Charlie Roadhouse; Filippos Ventirozos; Piotr Przybyla (ACL (Findings), 2025)