Maximum Entropy Named Entity Recognition for Czech Language. - Michal Konkol; Miloslav Konopík (TSD, 2011)

CRF-Based Czech Named Entity Recognizer and Consolidation of Czech NER Research. - Michal Konkol; Miloslav Konopík (TSD, 2013)

Brainy: A Machine Learning Library. - Michal Konkol (ICAISC (2), 2014)

UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis. - Tomás Brychcín; Michal Konkol; Josef Steinberger (SemEval@COLING, 2014)

Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches. - Michal Konkol; Miloslav Konopík (TSD, 2014)

Aspect-Level Sentiment Analysis in Czech. - Josef Steinberger; Tomás Brychcín; Michal Konkol (WASSA@ACL, 2014)

Fuzzy Agglomerative Clustering. - Michal Konkol (ICAISC (1), 2015)

First Steps in Czech Entity Linking. - Michal Konkol (TSD, 2015)

Segment Representations in Named Entity Recognition. - Michal Konkol; Miloslav Konopík (TSD, 2015)

Latent semantics in Named Entity Recognition. - Michal Konkol; Tomás Brychcín; Miloslav Konopík (Expert Syst. Appl., 2015)

UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis. - Tomás Hercig; Tomás Brychcín; Lukás Svoboda; Michal Konkol (SemEval@NAACL-HLT, 2016)

UWB at SemEval-2016 Task 11: Exploring Features for Complex Word Identification. - Michal Konkol (SemEval@NAACL-HLT, 2016)

Unsupervised Methods to Improve Aspect-Based Sentiment Analysis in Czech. - Tomás Hercig; Tomás Brychcín; Lukás Svoboda; Michal Konkol; Josef Steinberger (Computación y Sistemas, 2016)

Geographical Evaluation of Word Embeddings. - Michal Konkol; Tomás Brychcín; Michal Nykl; Tomás Hercig (IJCNLP(1), 2017)

Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees. - Michal Konkol (RANLP, 2017)

UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions. - Tomás Brychcín; Tomás Hercig; Josef Steinberger; Michal Konkol (SemEval@NAACL-HLT, 2018)