Piotr Przybyła
Piotr Przybyła
Institute of Computer Science, Polish Academy of Sciences
Bestätigte E-Mail-Adresse bei ipipan.waw.pl
Zitiert von
Zitiert von
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error
A Bannach-Brown, P Przybyła, J Thomas, ASC Rice, S Ananiadou, J Liao, ...
Systematic reviews 8 (1), 23, 2019
Prioritising references for systematic reviews with RobotAnalyst: a user study
P Przybyła, AJ Brockmeier, G Kontonatsios, MA Le Pogam, J McNaught, ...
Research synthesis methods 9 (3), 470-488, 2018
Text mining resources for the life sciences
P Przybyła, M Shardlow, S Aubin, R Bossy, R Eckart de Castilho, ...
Database 2016, 2016
A semi-supervised approach using label propagation to support citation screening
G Kontonatsios, AJ Brockmeier, P Przybyła, J McNaught, T Mu, ...
Journal of biomedical informatics 72, 67-76, 2017
Thalia: Semantic search engine for biomedical abstracts
AJ Soto, P Przybyła, S Ananiadou
Bioinformatics, 2018
What do your look-alikes say about you? Exploiting strong and weak similarities for author profiling.
P Przybyła, P Teisseyre
Proceedings of CLEF, 2015
Improving reference prioritisation with PICO recognition
AJ Brockmeier, M Ju, P Przybyła, S Ananiadou
BMC Medical Informatics and Decision Making 19 (1), 256, 2019
The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab.
J Gasior, P Przybyla
CLEF (Working Notes), 2019
Capturing the Style of Fake News
P Przybyla
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 490-497, 2020
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features
P Przybyła, NTH Nguyen, M Shardlow, G Kontonatsios, S Ananiadou
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
Analysing utterances in polish parliament to predict speaker’s background
P Przybyła, P Teisseyre
Journal of Quantitative Linguistics 21 (4), 350-376, 2014
Question analysis for Polish question answering
P Przybyła
51st Annual Meeting of the Association for Computational Linguistics …, 2013
Question classification for Polish question answering
P Przybyła
Language Processing and Intelligent Information Systems, 50-56, 2013
Generalisation of the identity method for determination of high-order moments of multiplicity distributions with a software implementation
M Maćkowiak-Pawłowska, P Przybyła
The European Physical Journal C 78 (5), 1-8, 2018
How big is big enough? Unsupervised word sense disambiguation using a very large corpus
P Przybyła
arXiv preprint arXiv:1710.07960, 2017
Issues of Polish Question Answering
P Przybyła
Proceedings of the first conference’Information Technologies: Research and …, 2012
Detecting Bot Accounts on Twitter by Measuring Message Predictability
P Przybyła
CLEF 2019 Labs and Workshops, Notebook Papers, 2019
Boosting Question Answering by Deep Entity Recognition
P Przybyła
arXiv preprint arXiv:1605.08675, 2016
Identifying personalised treatments and clinical trials for precision medicine using semantic search with Thalia
P Przybyła, A Soto, S Ananiadou
Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), 2017
A pattern recognition method for lattice distortion measurement from HRTEM images
P Przybyła
Journal of microscopy 245 (2), 200-209, 2012
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