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1
Towards a part-of-speech tagger for Sranan Tongo ...
Nicolás, C.V.; Viktor, Z.. - : Фонд содействия развитию интернет-медиа, ИТ-образования, человеческого потенциала "Лига интернет-медиа", 2022
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2
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022
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3
Enhancing Communication Reliability from the Semantic Level under Low SNR
In: Electronics; Volume 11; Issue 9; Pages: 1358 (2022)
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4
Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition
In: Mathematics; Volume 10; Issue 9; Pages: 1386 (2022)
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5
Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
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Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
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7
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
Abstract: International audience ; In this paper, we present BERT-POS, a simple method for encoding syntax into BERT embeddings without retraining or finetuning data, based on Part-Of-Speech (POS). Although fine-tuning is the most popular method to apply BERT models on domain datasets, it remains expensive in terms of training time, computing resources, training data selection and retraining frequency. Our alternative works at the preprocessing level and relies on POS tagging sentences. It gives interesting results for words similarity regarding out-of-vocabulary both in terms of domain-specific words and misspellings. More specifically, the experiments were done on French language, but we believe that they would be similar on others.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Language Models; Natural Language Processing; Out-of-Vocabulary Words; Part-Of-Speech; Semantic Similarity
URL: https://hal.archives-ouvertes.fr/hal-03474696
https://hal.archives-ouvertes.fr/hal-03474696/document
https://hal.archives-ouvertes.fr/hal-03474696/file/paper132.pdf
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8
Collecting and annotating corpora for three under-resourced languages of France: Methodological issues
In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://hal.archives-ouvertes.fr/hal-03273196 ; Language Documentation & Conservation, University of Hawaiʻi Press 2021, 15, pp.316-357 ; http://hdl.handle.net/10125/74645 (2021)
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9
Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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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10
Annotated Corpus of Pre-Standardized Balkan Slavic Literature 1.1
Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2021
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11
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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12
The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.2
Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2021
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13
日本語の動詞的名詞 (サ変名詞) の文法的位置づけ : 専用型と兼務型
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14
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
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15
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
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16
Hachidaishu part of speech dataset ...
Yamamoto, Hilofumi; Hodošček, Bor. - : Zenodo, 2021
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17
Hachidaishu part of speech dataset ...
Yamamoto, Hilofumi; Hodošček, Bor. - : Zenodo, 2021
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18
Developing Core Technologies for Resource-Scarce Nguni Languages
In: Information; Volume 12; Issue 12; Pages: 520 (2021)
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19
A Comparative Study of Arabic Part of Speech Taggers Using Literary Text Samples from Saudi Novels
In: Information; Volume 12; Issue 12; Pages: 523 (2021)
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20
Improving the Performance of Vietnamese&ndash ; Korean Neural Machine Translation with Contextual Embedding
In: Applied Sciences ; Volume 11 ; Issue 23 (2021)
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