Johann Petrak
Cited by
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Text processing with gate
H Cunningham, D Maynard, K Bontcheva
Gateway Press CA, 2011
Analysis of named entity recognition and linking for tweets
L Derczynski, D Maynard, G Rizzo, M Van Erp, G Gorrell, R Troncy, ...
Information Processing & Management 51 (2), 32-49, 2015
An evaluation of landmarking variants
J Fürnkranz, J Petrak
Working Notes of the ECML/PKDD 2000 Workshop on Integrating Aspects of Data …, 2001
Classification aware neural topic model for COVID-19 disinformation categorisation
X Song, J Petrak, Y Jiang, I Singh, D Maynard, K Bontcheva
PloS one 16 (2), e0247086, 2021
Sampling-based relative landmarks: Systematically test-driving algorithms before choosing
C Soares, J Petrak, P Brazdil
Portuguese conference on artificial intelligence, 88-95, 2001
Fast subsampling performance estimates for classification algorithm selection
J Petrak
Proceedings of the ECML-00 Workshop on Meta-Learning: Building Automatic …, 2000
Developing language processing components with gate version 8
H Cunningham, D Maynard, K Bontcheva, V Tablan, N Aswani, I Roberts, ...
University of Sheffield Department of Computer Science, 2014
Team bertha von suttner at semeval-2019 task 4: Hyperpartisan news detection using elmo sentence representation convolutional network
Y Jiang, J Petrak, X Song, K Bontcheva, D Maynard
Proceedings of the 13th International Workshop on Semantic Evaluation, 840-844, 2019
Adapted textrank for term extraction: A generic method of improving automatic term extraction algorithms
Z Zhang, J Petrak, D Maynard
Procedia Computer Science 137, 102-108, 2018
Knowledge discovery in international conflict databases
J Furnkranz, J Petrak, R Trappl
Applied Artificial Intelligence 11 (2), 91-118, 1997
GPSDB: a new database for synonyms expansion of gene and protein names
V Pillet, M Zehnder, AK Seewald, AL Veuthey, J Petrak
Bioinformatics 21 (8), 1743-1744, 2005
Using@ Twitter conventions to improve# LOD-based named entity disambiguation
G Gorrell, J Petrak, K Bontcheva
The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study.
AK Seewald, J Petrak, G Widmer
FLAIRS 1, 407-411, 2001
On the use of fast subsampling estimates for algorithm recommendation
J Fürnkranz, J Petrak, P Brazdil, C Soares
Technical Report, Austrian Research Institute for Artificial Intelligence, 2002
A deep neural network sentence level classification method with context information
X Song, J Petrak, A Roberts
arXiv preprint arXiv:1809.00934, 2018
Random indexing for finding similar nodes within large RDF graphs
D Damljanovic, J Petrak, M Lupu, H Cunningham, M Carlsson, ...
The Semantic Web: ESWC 2011 Workshops: ESWC 2011 Workshops, Heraklion …, 2012
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases'
R Trappl, J Fürnkranz, J Petrak
ECAI, 453-457, 1996
Searching for patterns in political event sequences: Experiments with the KEDS database
K Kovar, J Fürnkranz, J Petrak, B Pfahringer, R Trappl, G Widmer
Cybernetics & Systems 31 (6), 649-668, 2000
Data Mining–Methoden und Anwendungen
J Petrak
Östereichisches Forschungszentrum für Artificial Intelligence. Wien http …, 1997
An extensible multilingual open source lemmatizer
A Aker, J Petrak, F Sabbah
Proceedings of the International Conference Recent Advances in Natural …, 2017
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