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Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
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Sentiment Analysis (Czech Model)
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Vysušilová, Petra; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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Abstract:
Sentiment analysis models for Czech language. Models are three Czech sentiment analysis datasets(http://liks.fav.zcu.cz/sentiment/): Mall, CSFD, Facebook, and joint data from all three datasets above, using Czech version of BERT model, RobeCzech. We present the best model for every dataset. Mall and CSFD models are new state-of-the-art for respective data. Demo jupyter notebook is available on the project GitHub. These models are a part of Czech NLP with Contextualized Embeddings master thesis.
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Keyword:
BERT; Czech language; sentiment analysis
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URL: http://hdl.handle.net/11234/1-4601
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Czech HS Contracts Dataset (CHSC) 1.0
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Szabó, Adam; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model ...
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ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5 ...
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Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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Slovak MorphoDiTa Models 170914
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Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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