Johann Petrak - Google Scholar

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	All	Since 2015
Citations	1600	883
h-index	13	10
i10-index	20	10

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Co-authors

Diana MaynardSenior Research Fellow, GATE team, NLP group, and CFOM, University of SheffieldVerified email at sheffield.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
hamish cunninghamProfessor of Computer Science, University of SheffieldVerified email at gate.ac.uk
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Genevieve GorrellResearch Associate, GATE, NLP group, Computer Science Dept., University of SheffieldVerified email at sheffield.ac.uk
Leon DerczynskiITU CopenhagenVerified email at itu.dk
Valentin TablanIeso Digital HealthVerified email at tablan.net
Danica DamljanovicUniversity of SheffieldVerified email at dcs.shef.ac.uk
Carlos SoaresAssociate Professor, Faculdade de Engenharia, Universidade do Porto / Fraunhofer AICOS / LIACCVerified email at fep.up.pt
Horacio SaggionProfesor Agregado, Head of the Large Scale Text Understanding Systems Lab, TALN, UPFVerified email at upf.edu
Raphaël TroncyAssociate Professor of Computer Science, EURECOMVerified email at eurecom.fr
Marieke van ErpKNAW Humanities ClusterVerified email at dh.huc.knaw.nl
Giuseppe RizzoLINKS FoundationVerified email at linksfoundation.com
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Xingyi SongUniversity of SheffieldVerified email at shef.ac.uk
Pavel BrazdilProfessor at FEP, U.Porto, Member of LIAAD-INESC TecVerified email at inescporto.pt
Mihai LupuVerified email at mihailupu.net
Dunja MladenicSenior researcher at J. Stefan InstituteVerified email at ijs.si
Mário Amado AlvesFaculdade de Engenharia da Universidade do PortoVerified email at fe.up.pt
Alípio JorgeLIAAD, INESC Porto, DCC, FCUP, university of PortoVerified email at fc.up.pt

Johann Petrak

Austrian Research Institute for Artificial Intelligence (OFAI) and Uni Sheffield, NLP group, GATE

Verified email at sheffield.ac.uk - Homepage

Natural Language Processing Information Extraction Machine Learning Ontologies Semantic Search


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Text processing with gate H Cunningham, D Maynard, K Bontcheva Gateway Press CA, 2011	729*	2011
Text processing with gate H Cunningham, D Maynard, K Bontcheva Gateway Press CA, 2011	537	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	322	2015
An evaluation of landmarking variants J Fürnkranz, J Petrak Working Notes of the ECML/PKDD 2000 Workshop on Integrating Aspects of Data …, 2001	105	2001
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	47	2014
Sampling-based relative landmarks: Systematically test-driving algorithms before choosing C Soares, J Petrak, P Brazdil Portuguese conference on artificial intelligence, 88-95, 2001	45	2001
Knowledge discovery in international conflict databases J Furnkranz, J Petrak, R Trappl Applied Artificial Intelligence 11 (2), 91-118, 1997	41	1997
Fast subsampling performance estimates for classification algorithm selection J Petrak Proceedings of the ECML-00 Workshop on Meta-Learning: Building Automatic …, 2000	38	2000
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	29	2005
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. AK Seewald, J Petrak, G Widmer FLAIRS Conference, 407-411, 2001	23	2001
Using@ Twitter conventions to improve# lod-based named entity disambiguation G Gorrell, J Petrak, K Bontcheva European semantic web conference, 171-186, 2015	19	2015
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	18	2002
Random indexing for finding similar nodes within large RDF graphs D Damljanovic, J Petrak, M Lupu, H Cunningham, M Carlsson, ... Extended Semantic Web Conference, 156-171, 2011	16	2011
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	14	2000
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases' R Trappl, J Fürnkranz, J Petrak ECAI, 453-457, 1996	13	1996
A deep neural network sentence level classification method with context information X Song, J Petrak, A Roberts arXiv preprint arXiv:1809.00934, 2018	12	2018
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	11	2018
Text Processing with GATE (Version 6). University of Sheffield Department of Computer Science; 2011 H Cunningham, D Maynard, K Bontcheva, V Tablan, N Aswani, I Roberts, ...	10	2011
Web site access analysis for a national statistical agency A Jorge, MA Alves, M Grobelnik, D Mladenić, J Petrak Data Mining and Decision Support, 167-176, 2003	10	2003
Machine learning and case-based reasoning: Their potential role in preventing the outbreak of wars or in ending them R Trappl, J Fürnkranz, J Petrak, J Bercovitch Learning, networks and statistics, 209-225, 1997	10	1997

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