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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
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Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021)
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Annotated Corpus of Pre-Standardized Balkan Slavic Literature 1.1
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Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2021
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.2
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Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
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Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
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Developing Core Technologies for Resource-Scarce Nguni Languages
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In: Information; Volume 12; Issue 12; Pages: 520 (2021)
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The impact of Arabic part of speech tagging on sentiment analysis: A new corpus and deep learning approach
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In: Test Series for Scopus Harvesting 2021 (2021)
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Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech
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In: 2020 International Joint Conference on Neural Networks (IJCNN 2020) ; https://hal.inria.fr/hal-02594495 ; 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom ; https://wcci2020.org/ (2020)
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Macedonian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serbian 1.1
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1
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Annotated Corpus of Pre-Standardized Balkan Slavic Literature
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Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2020
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Serbian 1.0
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Abstract:
This model for morphosyntactic annotation of non-standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200), the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1240), the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1241), the hr500k training corpus (http://hdl.handle.net/11356/1210) and the RAPUT corpus (https://www.aclweb.org/anthology/L16-1513/), using the CLARIN.SI-embed.sr word embeddings (http://hdl.handle.net/11356/1206). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~94.91.
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Keyword:
computer-mediated communication; language model; part-of-speech tagging
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URL: http://hdl.handle.net/11356/1332
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Croatian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Slovenian 1.0
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