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Neural Networks for Featureless Named Entity Recognition in Czech.

, , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 173-181. Springer, (2016)

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ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution.. CoRR, (2023)A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations., , , and . CoRR, (2021)UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings., and . CoRR, (2020)Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing., , and . CoRR, (2019)UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing., , and . LREC, European Language Resources Association (ELRA), (2016)SumeCzech: Large Czech News-Based Summarization Dataset., , , , , and . LREC, European Language Resources Association (ELRA), (2018)DaMuEL: A Large Multilingual Dataset for Entity Linking., and . CoRR, (2023)Understanding Model Robustness to User-generated Noisy Texts., , , and . W-NUT, page 340-350. Association for Computational Linguistics, (2021)ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5., and . W-NUT, page 483-492. Association for Computational Linguistics, (2021)The performance of the Haskell containers package.. Haskell, page 13-24. ACM, (2010)