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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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Abstract:
The model for morphosyntactic annotation of 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) and using the CLARIN.SI-embed.sr word embeddings (http://hdl.handle.net/11356/1206). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~95.2. The difference to the previous version of the model is that now the whole XPOS tag is predicted and not specific characters, as was the case in stanfordnlp, which resulted in illegal XPOS tags (and slightly decreased performance).
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Keyword:
language model; part-of-speech tagging
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URL: http://hdl.handle.net/11356/1349
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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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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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