1. Konkol, M., Brychcín, T., Konopík, M.: Latent semantics in Named Entity Recognition. Expert Systems with Applications, 42(7):3470 – 3479, 2015. bibtex | ScienceDirect
  2. Brychcín, T., Konkol, M., Steinberger, J.: UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis. SemEval 2014. PDF | bibtex | ACL Anthology
  3. Konkol, M., Konopík, M.: Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches. TSD 2014. LNCS. Springer, Heidelberg, 2014. PDF | bibtex | SpringerLink
  4. Steinberger, J., Brychcín, T., Konkol, M.: Aspect-Level Sentiment Analysis in Czech. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, June 2014, Baltimore, USA, Association for Computational Linguistics. PDF | bibtex | ACL Anthology
  5. Konkol, M.: Brainy: A machine learning library. ICAISC 2014. LNCS, vol. 8468, Part II, pp. 490-499. Springer, Heidelberg, 2014. PDF | bibtex | SpringerLink
  6. Konkol, M., Konopík M.: CRF-Based Czech Named Entity Recognizer and Consolidation of Czech NER Research. TSD 2013. LNCS, vol. 8082, pp. 153-160. Springer, Heidelberg, 2013. PDF | bibtex | SpringerLink
  7. Konkol, M., Konopík, M.: Maximum entropy named entity recognition for Czech language. TSD 2011. LNCS, vol. 6836, pp. 203–210. Springer, Heidelberg, 2011. PDF | bibtex | SpringerLink