Johann Petrak

Books

• Cunningham H, Maynard D, Bontcheva K, Tablan V, Aswani N, Roberts I, Gorrell G, Funk A, Roberts A & Damljanovic D (2011) Text Processing with Gate (Version 6). GATE.

Edited books

• (Ed.) (2001) Sampling-based relative landmarks: Systematically test-driving algorithms before choosing..

Journal articles

• Song X, Petrak J, Jiang Y, Singh I, Maynard D & Bontcheva K (2021) Classification aware neural topic model for COVID-19 disinformation categorisation. PLoS ONE, 16(2). View this article in WRRO
• Maynard D, Lepori B, Petrak J, Song X & Laredo P (2020) Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project. Scientometrics. View this article in WRRO
• Derczynski L, Maynard D, Rizzo G, Van Erp M, Gorrell G, Troncy R, Petrak J & Bontcheva K (2015) Analysis of named entity recognition and linking for tweets. Information Processing and Management, 51(2), 32-49. View this article in WRRO
• Damljanovic D, Petrak J, Lupu M, Cunningham H, Carlsson M, Engstrom G & Andersson B (2011) Random indexing for finding similar nodes within large RDF Graphs. CEUR Workshop Proceedings, 737, 36-50.
• Pillet V, Zehnder M, Seewald AK, Veuthey A-L & Petrak J (2005) GPSDB: a new database for synonyms expansion of gene and protein names.. Bioinformatics, 21(8), 1743-1744.
• Kovar K, Fürnkranz J, Petrak J, Pfahringer B, Trappl R & Widmer G (2000) Searching for patterns in political event sequences: Experiments with the KEDS database. Cybernetics and Systems, 31(6), 649-668.
• Furnkranz J & Pfahringer B (1998) Guest editorial: First-order knowledge discovery in databases. Applied Artificial Intelligence, 12(5), 345-361.
• Fürnkranz J, Petrak J & Trappl R (1997) Knowledge discovery in international conflict databases. Applied Artificial Intelligence, 11(2), 91-118.

Chapters

• Jorge A, Bojadžiev D, Alves MA, Štěpánková O, Mladenić D, Palouš J, Flach P & Petrak J (2003) Internet Support to Collaboration, Data Mining and Decision Support (pp. 247-259). Springer US
• Jorge A, Bojadziev D, Alves MA, Stepankova O, Mladenic D, Palous J, Flach P & Petrak J (2003) Internet Support to Collaboration: A Knowledge Management and Organizational Memory View In Mladenic D, Lavrac N & Bohanec M (Ed.), Data Mining and Decision Support
• Jorge A, Alves MA, Grobelnik M, Mladenic D & Petrak J (2003) Web Site Access Analysis for a National Statistical Agency, Data Mining and Decision Support (pp. 167-176). Kluwer Academic Publishers
• Trappl R, Fuernkranz J, Petrak J & Bercovitch J (1997) Machine Learning and Case-Based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them In Della Riccia G, Kruse R & Lenz H-J (Ed.), Learning, Networks and Statistics Wien/New York: Springer.
• Pinz A, Kropatsch W, Hinterleitner A & Petrak J (1992) Evaluation of image processing systems for application in research and education In Mandl P (Ed.), Modelling and New Methods in Image Processing and Geographic Information Systems (pp. 193-202). Vienna: Oldenbourg.

Conference proceedings papers

• Jiang Y, Petrak J, Song X, Bontcheva K & Maynard D (2019) Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. Proceedings of the 13th International Workshop on Semantic Evaluation, June 2019 - June 2019.
• Jiang Y, Petrak J, Song X, Bontcheva K & Maynard D (2019) Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. Proceedings of the 13th International Workshop on Semantic Evaluation. Minneapolis, Minnesota, USA, 6 June 2019 - 7 June 2019. View this article in WRRO
• Song X, Petrak J & Roberts A (2018) A deep neural network sentence level classification method with context information. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp 900-904). Brussels, Belgium, 31 October 2018 - 4 November 2018.
• Zhang Z, Petrak J & Maynard D (2018) Adapted TextRank for Term Extraction: A generic method of improving automatic term extraction algorithms. Procedia Computer Science, Vol. 137 (pp 102-108), 10 September 2018 - 13 September 2018. View this article in WRRO
• Aker A, Petrak J & Sabbah F (2017) An Extensible Multilingual Open Source Lemmatizer. Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (pp 40-45) View this article in WRRO
• Gorrell G, Petrak J & Bontcheva K (2015) Using @Twitter Conventions to Improve #LOD-Based Named Entity Disambiguation (pp 171-186)
• Damljanovic D, Kruschwitz U, Albakour M-D, Petrak J & Lupu M (2012) Applying Random Indexing to Structured Data to Find Contextually Similar Words. LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (pp 2023-2030)
• Damljanovic D, Petrak J, Lupu M, Cunningham H, Carlsson M, Engstrom G & Andersson B (2011) Random Indexing for Finding Similar Nodes within Large RDF Graphs.. ESWC Workshops, Vol. 7117 (pp 156-171)
• Lejtovicz K & Petrak J (2010) Mining Hierarchical Frequent Sequences in Medical Reports for Domain Model Creation. Proceedings of the Fourth International Symposium on Semantic Mining in Biomedicine (SMBM'10)
• Damljanovic D, Petrak J & Cunningham H (2010) Random Indexing for Searching Large RDF Graphs. Proceedings of the 7th Extended Semantic Web Conference (ESWC 2010)
• Seewald AK, Petrak J & Widmer G (2001) Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. Proceedings of the 14th International FLAIRS Conference (FLAIRS-2001)
• Fuernkranz J & Petrak J (2001) An Evaluation of Landmarking Variants. Proceedings of the ECML/PKDD-01 Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-01) (pp 57-68)
• Petrak J (2000) Fast Subsampling Performance Estimates for Classification Algorithm Selection. ECML-2000 Workshop Notes on Meta Learning: Building Automatic Advice Strategies for Model Selection and Method Combination. Barcelona, Spain
• Trappl R, Fuernkranz J & Petrak J (1996) Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases. Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96) (pp 453-457). Chichester/London/New York

Preprints

• Petrak J & Krenn B (2022) Misogyny classification of German newspaper forum comments, arXiv.
• Song X, Petrak J, Jiang Y, Singh I, Maynard D & Bontcheva K (2020) Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus, arXiv. View this article in WRRO
• Song X, Petrak J & Roberts A (2018) A Deep Neural Network Sentence Level Classification Method with Context Information, arXiv.
• Derczynski L, Maynard D, Rizzo G, van Erp M, Gorrell G, Troncy R, Petrak J & Bontcheva K (2014) Analysis of Named Entity Recognition and Linking for Tweets, arXiv.