György Szarvas

Publications by Year

Research Areas

Topic Modeling, Natural Language Processing Techniques, Biomedical Text Mining and Ontologies, Text and Document Classification Technologies, Advanced Text Analysis Techniques

Most-Cited Works

• → The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes(2008)418 cited
• → What helps where – and why? Semantic relatedness for knowledge transfer(2010)279 cited
• The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text(2010)
• → Automatic construction of rule-based ICD-9-CM coding systems(2008)181 cited
• → The BioScope corpus(2008)171 cited
• → State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework(2007)120 cited
• → A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms(2006)106 cited
• → Cross-Genre and Cross-Domain Detection of Semantic Uncertainty(2012)87 cited
• → State-of-the-art anonymisation of medical records using an iterative machine learning framework(2007)83 cited
• Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords(2008)