Piotr Przybyla

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Classification Accuracy

Question Answering

Semantic Search

Top Venues

CLEF (Working Notes)

NLP-MisInfo@SEPLN

Publications

Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk
PolQA: Polish Question Answering Dataset. LREC/COLING (2024)
Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). CLEF (Working Notes) (2024)
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
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) (2024)
Piotr Przybyla, Nicolau Duran-Silva, Santiago Egea Gómez
I've Seen Things You Machines Wouldn't Believe: Measuring Content Predictability to Identify Automatically-Generated Text. IberLEF@SEPLN (2023)
Piotr Przybyla, Alexander V. Shvets, Horacio Saggion
BODEGA: Benchmark for Adversarial Example Generation in Credibility Assessment. CoRR (2023)
Lukasz Kobylinski, Maciej Ogrodniczuk, Piotr Rybak, Piotr Przybyla, Piotr Pezik, Agnieszka Mikolajczyk, Wojciech Janowski, Michal Marcinczuk, Aleksander Smywinski-Pohl
PolEval 2022/23 Challenge Tasks and Results. FedCSIS (2023)
Piotr Przybyla, Horacio Saggion
ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions. NLP-MisInfo@SEPLN (2023)
Piotr Przybyla, Konrad Kaczynski
Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond. NLP-MisInfo@SEPLN (2023)
Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk
Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies. CoRR (2022)
Matthew Shardlow, Piotr Przybyla
Deanthropomorphising NLP: Can a Language Model Be Conscious? CoRR (2022)
Piotr Przybyla, Piotr Borkowski, Konrad Kaczynski
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. IJCNN (2022)
Piotr Przybyla, Matthew Shardlow
Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences. ACL (Findings) (2022)
Piotr Przybyla, Axel J. Soto
When classification accuracy is not enough: Explaining news credibility assessment. Inf. Process. Manag. 58 (5) (2021)
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou
The Role of Text Simplification Operations in Evaluation. CTTS@SEPLN (2021)
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou
Investigating Text Simplification Evaluation. ACL/IJCNLP (Findings) (2021)
Konrad Kaczynski, Piotr Przybyla
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection. SemEval@ACL/IJCNLP (2021)
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou
Investigating Text Simplification Evaluation. CoRR (2021)
Piotr Przybyla, Matthew Shardlow
Multi-Word Lexical Simplification. COLING (2020)
Piotr Przybyla
Capturing the Style of Fake News. AAAI (2020)
Axel J. Soto, Piotr Przybyla, Sophia Ananiadou
Thalia: semantic search engine for biomedical abstracts. Bioinform. 35 (10) (2019)
Jakub Gasior, Piotr Przybyla
The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab. CLEF (Working Notes) (2019)
Piotr Przybyla
Detecting Bot Accounts on Twitter by Measuring Message Predictability. CLEF (Working Notes) (2019)
Austin J. Brockmeier, Meizhi Ju, Piotr Przybyla, Sophia Ananiadou
Improving reference prioritisation with PICO recognition. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Piotr Przybyla, Austin J. Brockmeier, Sophia Ananiadou
Quantifying risk factors in medical reports with a context-aware linear model. J. Am. Medical Informatics Assoc. 26 (6) (2019)
Piotr Przybyla
How big is big enough? Unsupervised word sense disambiguation using a very large corpus. CoRR (2017)
Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics 72 (2017)
Piotr Przybyla, Axel J. Soto, Sophia Ananiadou
Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia. TREC (2017)
Piotr Przybyla
Boosting Question Answering by Deep Entity Recognition. CoRR (2016)
Piotr Przybyla, Nhung T. H. Nguyen, Matthew Shardlow, Georgios Kontonatsios, Sophia Ananiadou
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features. SemEval@NAACL-HLT (2016)
Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou
Text mining resources for the life sciences. Database J. Biol. Databases Curation 2016 (2016)
Piotr Przybyla
Gathering Knowledge for Question Answering Beyond Named Entities. NLDB (2015)
Piotr Przybyla, Pawel Teisseyre
What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling. CLEF (Working Notes) (2015)
Piotr Przybyla, Pawel Teisseyre
Analysing Utterances in Polish Parliament to Predict Speaker's Background. J. Quant. Linguistics 21 (4) (2014)
Piotr Przybyla, Katarzyna Sznajd-Weron, Rafal Weron
Diffusion of Innovation within an Agent-Based Model: Spinsons, Independence and Advertising. Adv. Complex Syst. 17 (1) (2014)
Piotr Przybyla
Question Analysis for Polish Question Answering. ACL (Student Research Workshop) (2013)
Piotr Przybyla
Question Classification for Polish Question Answering. IIS (2013)