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Piotr Przybyla
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2020 – today
- 2024
- [c22]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: 321-338 - [c21]Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk:
PolQA: Polish Question Answering Dataset. LREC/COLING 2024: 12846-12855 - [c20]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: 449-458 - 2023
- [c19]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: 1243-1250 - [c18]Piotr Przybyla
, Konrad Kaczynski:
Where Does It End? Long Named Entity Recognition for Propaganda Detection and Beyond. NLP-MisInfo@SEPLN 2023: 18-35 - [c17]Piotr Przybyla
, Horacio Saggion:
ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions. NLP-MisInfo@SEPLN 2023: 45-52 - [c16]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 - [i6]Piotr Przybyla, Alexander V. Shvets, Horacio Saggion:
BODEGA: Benchmark for Adversarial Example Generation in Credibility Assessment. CoRR abs/2303.08032 (2023) - 2022
- [c15]Piotr Przybyla
, Matthew Shardlow:
Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences. ACL (Findings) 2022: 3853-3863 - [c14]Piotr Przybyla
, Piotr Borkowski, Konrad Kaczynski:
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. IJCNN 2022: 1-8 - [i5]Matthew Shardlow, Piotr Przybyla:
Deanthropomorphising NLP: Can a Language Model Be Conscious? CoRR abs/2211.11483 (2022) - [i4]Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk
:
Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies. CoRR abs/2212.08897 (2022) - 2021
- [j8]Piotr Przybyla
, Axel J. Soto
:
When classification accuracy is not enough: Explaining news credibility assessment. Inf. Process. Manag. 58(5): 102653 (2021) - [c13]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla
, Sophia Ananiadou:
Investigating Text Simplification Evaluation. ACL/IJCNLP (Findings) 2021: 876-882 - [c12]Konrad Kaczynski, Piotr Przybyla
:
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection. SemEval@ACL/IJCNLP 2021: 1027-1031 - [c11]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla
, Sophia Ananiadou:
The Role of Text Simplification Operations in Evaluation. CTTS@SEPLN 2021 - [i3]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. CoRR abs/2107.13662 (2021) - 2020
- [c10]Piotr Przybyla
:
Capturing the Style of Fake News. AAAI 2020: 490-497 - [c9]Piotr Przybyla
, Matthew Shardlow:
Multi-Word Lexical Simplification. COLING 2020: 1435-1446
2010 – 2019
- 2019
- [j7]Axel J. Soto
, Piotr Przybyla
, Sophia Ananiadou:
Thalia: semantic search engine for biomedical abstracts. Bioinform. 35(10): 1799-1801 (2019) - [j6]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): 537-546 (2019) - [j5]Austin J. Brockmeier
, Meizhi Ju, Piotr Przybyla
, Sophia Ananiadou
:
Improving reference prioritisation with PICO recognition. BMC Medical Informatics Decis. Mak. 19(1): 256 (2019) - [c8]Jakub Gasior, Piotr Przybyla
:
The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab. CLEF (Working Notes) 2019 - [c7]Piotr Przybyla
:
Detecting Bot Accounts on Twitter by Measuring Message Predictability. CLEF (Working Notes) 2019 - 2017
- [j4]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: 67-76 (2017) - [c6]Piotr Przybyla, Axel J. Soto, Sophia Ananiadou:
Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia. TREC 2017 - [i2]Piotr Przybyla:
How big is big enough? Unsupervised word sense disambiguation using a very large corpus. CoRR abs/1710.07960 (2017) - 2016
- [j3]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) - [c5]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: 614-620 - [i1]Piotr Przybyla:
Boosting Question Answering by Deep Entity Recognition. CoRR abs/1605.08675 (2016) - 2015
- [c4]Piotr Przybyla, Pawel Teisseyre:
What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling. CLEF (Working Notes) 2015 - [c3]Piotr Przybyla:
Gathering Knowledge for Question Answering Beyond Named Entities. NLDB 2015: 412-417 - 2014
- [j2]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) - [j1]Piotr Przybyla
, Pawel Teisseyre
:
Analysing Utterances in Polish Parliament to Predict Speaker's Background. J. Quant. Linguistics 21(4): 350-376 (2014) - 2013
- [c2]Piotr Przybyla:
Question Analysis for Polish Question Answering. ACL (Student Research Workshop) 2013: 96-102 - [c1]Piotr Przybyla
:
Question Classification for Polish Question Answering. IIS 2013: 50-56
Coauthor Index
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last updated on 2024-08-22 19:47 CEST by the dblp team
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