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Hits 1 – 20 of 293
1
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
Ljubešić, Nikola
;
Krsnik, Luka
. - : Jožef Stefan Institute, 2022
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2
Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
Pedrelli, Luca
;
Hinaut, Xavier
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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3
Annotated Corpus of Pre-Standardized Balkan Slavic Literature 1.1
Šimko, Ivan
. - : Slavic Seminary, University of Zurich, 2021
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4
Training corpus ssj500k 2.3
Krek, Simon
;
Dobrovoljc, Kaja
;
Erjavec, Tomaž
. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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5
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.2
Ljubešić, Nikola
;
Krsnik, Luka
. - : Jožef Stefan Institute, 2021
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6
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
Yitagesu, Sofonias
;
Zhang, Xiaowang
;
Feng, Zhiyong
. - : Zenodo, 2021
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7
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
Yitagesu, Sofonias
;
Zhang, Xiaowang
;
Feng, Zhiyong
. - : Zenodo, 2021
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8
Developing Core Technologies for Resource-Scarce Nguni Languages
Jakobus S. du Toit; Martin J. Puttkammer
In: Information; Volume 12; Issue 12; Pages: 520 (2021)
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9
An evaluation of part-of-speech taggers for French
Mattiuzzi, Silvia
. - : Université de Genève, 2021
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10
The impact of Arabic part of speech tagging on sentiment analysis: A new corpus and deep learning approach
Nerabie, Abdul Munem
;
AlKhatib, Manar
;
Mathew, Sujith Samuel
...
In: Test Series for Scopus Harvesting 2021 (2021)
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11
Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech
Pedrelli, Luca
;
Hinaut, Xavier
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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12
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Macedonian 1.0
Ljubešić, Nikola
;
Zdravkova, Katerina
;
Stojanoska, Sanja
. - : Jožef Stefan Institute, 2020
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13
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serbian 1.1
Ljubešić, Nikola
. - : Jožef Stefan Institute, 2020
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14
Spoken Torlak dialect corpus 1.0 (transcription)
Vuković, Teodora
. - : Slavisches Seminar, University of Zurich, 2020
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15
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1
Ljubešić, Nikola
. - : Jožef Stefan Institute, 2020
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16
Annotated Corpus of Pre-Standardized Balkan Slavic Literature
Šimko, Ivan
. - : Slavic Seminary, University of Zurich, 2020
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17
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0
Ljubešić, Nikola
;
Osenova, Petya
;
Simov, Kiril
. - : Jožef Stefan Institute, 2020. : IICT-BAS, 2020
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18
The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Serbian 1.0
Ljubešić, Nikola
;
Štefanec, Vanja
. - : Jožef Stefan Institute, 2020
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19
The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Croatian 1.0
Ljubešić, Nikola
;
Štefanec, Vanja
. - : Jožef Stefan Institute, 2020
Abstract:
This model for morphosyntactic annotation of non-standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training corpus (http://hdl.handle.net/11356/1210), the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1241), the RAPUT corpus (https://www.aclweb.org/anthology/L16-1513/) and the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1240), using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1205). 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 ~95.11.
Keyword:
computer-mediated communication
;
language model
;
part-of-speech tagging
URL:
http://hdl.handle.net/11356/1331
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20
The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Slovenian 1.0
Ljubešić, Nikola
. - : Jožef Stefan Institute, 2020
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