Named Entity Recognition
Named Entity Recognition (NER) automatically identifies words or phrases of a special meaning in texts and classifies them into groups (e.g. persons, organizations, products, dates, cities, coutnries, product names). We have successfully employed a modern BERT-like model focused on Czech language.
Publications
Transfer learning for Czech Historical Named Entity Recognition
Helena Hubková and Pavel KrálRecent Advances in Natural Language Processing (2021)
Neural Networks | Named Entity Recognition
The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
Jakub Piskorski and Laska Laskova and Michał Marcińczuk and Lidia Pivovarova and Pavel Přibáň and Josef Steinberger and Roman YangarberProceedings of the 7th Workshop on Balto-Slavic Natural Language Processing (2019)
Named Entity Recognition
MediaGist: A Cross-lingual Analyser of Aggregated News and Commentaries
Josef SteinbergerProceedings of ACL-2016 System Demonstrations (2016)
Sentiment Analysis | Summarization | Named Entity Recognition
First Steps in Czech Entity Linking
Michal KonkolText, Speech, and Dialogue (2015)
Named Entity Recognition
Segment Representations in Named Entity Recognition
Michal Konkol and Miloslav KonopíkText, Speech, and Dialogue (2015)
Named Entity Recognition
Latent semantics in Named Entity Recognition
Michal Konkol and Tomáš Brychcín and Miloslav KonopíkExpert Systems with Applications (2015)
Semantic Analysis | Named Entity Recognition
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2014)
Named Entity Recognition
UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis
Tomáš Brychcín and Michal Konkol and Josef SteinbergerProceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (2014)
Semantic Analysis | Sentiment Analysis | Named Entity Recognition
Named entities as new features for Czech document classification
Pavel Král15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2014) (2014)
Document Classification | Named Entity Recognition
CRF-based Czech Named Entity Recognizer and Consolidation of Czech NER Research
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2013)
Named Entity Recognition
Maximum Entropy Named Entity Recognition for Czech Language
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2011)
Named Entity Recognition
