Richárd Farkas

Summary

Affiliation: University of Szeged
Country: Hungary

Publications

  1. ncbi The strength of co-authorship in gene name disambiguation
    Richárd Farkas
    Hungarian Academy of Science, Research Group on Artificial Intelligence, Aradi vertanuk tere, Szeged, Hungary
    BMC Bioinformatics 9:69. 2008
  2. ncbi Automatic construction of rule-based ICD-9-CM coding systems
    Richárd Farkas
    Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Aradi Vertanuk tere 1, Szeged, Hungary
    BMC Bioinformatics 9:S10. 2008
  3. ncbi Semi-automated construction of decision rules to predict morbidities from clinical texts
    Richárd Farkas
    Research Group on Artificial Intelligence of the Hungarian Academy of Sciences and University of Szeged, Szeged, Hungary
    J Am Med Inform Assoc 16:601-5. 2009
  4. ncbi The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes
    Veronika Vincze
    University of Szeged, Department of Informatics, Human Language Technology Group, Arpád tér 2, Szeged, Hungary
    BMC Bioinformatics 9:S9. 2008
  5. ncbi State-of-the-art anonymization of medical records using an iterative machine learning framework
    György Szarvas
    University of Szeged, Department of Informatics, 6720, Szeged, Arpád tér 2, Hungary
    J Am Med Inform Assoc 14:574-80. 2007
  6. ncbi Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora
    Veronika Vincze
    Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Szeged, Hungary
    J Biomed Semantics 2:S8. 2011

Detail Information

Publications6

  1. ncbi The strength of co-authorship in gene name disambiguation
    Richárd Farkas
    Hungarian Academy of Science, Research Group on Artificial Intelligence, Aradi vertanuk tere, Szeged, Hungary
    BMC Bioinformatics 9:69. 2008
    ..We examine here the utilisation potential of the fact - one of the special features of biological articles - that the authors of the documents are known through graph-based semi-supervised methods for the GSD task...
  2. ncbi Automatic construction of rule-based ICD-9-CM coding systems
    Richárd Farkas
    Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Aradi Vertanuk tere 1, Szeged, Hungary
    BMC Bioinformatics 9:S10. 2008
    ....
  3. ncbi Semi-automated construction of decision rules to predict morbidities from clinical texts
    Richárd Farkas
    Research Group on Artificial Intelligence of the Hungarian Academy of Sciences and University of Szeged, Szeged, Hungary
    J Am Med Inform Assoc 16:601-5. 2009
    ....
  4. ncbi The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes
    Veronika Vincze
    University of Szeged, Department of Informatics, Human Language Technology Group, Arpád tér 2, Szeged, Hungary
    BMC Bioinformatics 9:S9. 2008
    ..This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus)...
  5. ncbi State-of-the-art anonymization of medical records using an iterative machine learning framework
    György Szarvas
    University of Szeged, Department of Informatics, 6720, Szeged, Arpád tér 2, Hungary
    J Am Med Inform Assoc 14:574-80. 2007
    ....
  6. ncbi Linguistic scope-based and biological event-based speculation and negation annotations in the BioScope and Genia Event corpora
    Veronika Vincze
    Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Szeged, Hungary
    J Biomed Semantics 2:S8. 2011
    ..BioScope marks linguistic cues and their scopes for negation and hedging while in Genia biological events are marked for uncertainty and/or negation...