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Hits 1 – 20 of 1.721

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
	Yueling Liu; Yichi Zhang; Peng Luo; Shengteng Jiang; Kuo Cao; Haitao Zhao; Jibo Wei
	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
	Miao Jiang; Xin Zhang; Chonghao Chen; Taihua Shao; Honghui Chen
	In: Mathematics; Volume 10; Issue 9; Pages: 1386 (2022)
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5	Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
	Nevalainen, Terttu; Kaislaniemi, Samuli; Säily, Tanja. - : Zenodo, 2022
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6	Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
	Nevalainen, Terttu; Kaislaniemi, Samuli; Säily, Tanja. - : Zenodo, 2022
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7	Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
	Benamar, Alexandra; Bothua, Meryl; Grouin, Cyril...
	In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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8	Collecting and annotating corpora for three under-resourced languages of France: Methodological issues
	Bernhard, Delphine; Ligozat, Anne-Laure; Bras, Myriam...
	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
	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)
	Abstract: International audience ; In this paper, we propose a novel architecture called Hierarchical-Task Reservoir (HTR) suitable for real-time applications for which different levels of abstraction are available. We apply it to semantic role labeling based on continuous speech recognition. Taking inspiration from the brain, that demonstrates hierarchies of representations from perceptive to integrative areas, we consider a hierarchy of four sub-tasks with increasing levels of abstraction (phone, word, part-of-speech and semantic role tags). These tasks are progressively learned by the layers of the HTR architecture. Interestingly, quantitative and qualitative results show that the hierarchical-task approach provides an advantage to improve the prediction. In particular, the qualitative results show that a shallow or a hierarchical reservoir, considered as baselines, do not produce estimations as good asthe HTR model would. Moreover, we show that it is possible to further improve the accuracy of the model by designing skip connections and by considering word embedding in the internal representations. Overall, the HTR outperformed the other stateof-the-art reservoir-based approaches and it resulted in extremely efficient w.r.t. typical RNNs in deep learning (e.g. LSTMs). The HTR architecture is proposed as a step toward the modeling of online and hierarchical processes at work in the brain during language comprehension.
	Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [SCCO.LING]Cognitive science/Linguistics; [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]; Anytime Process; Hierarchical Processing; Hierarchical Reservoir Computing; Natural Language Processing; Part-of-Speech; POS tagging; Recurrent Neural Networks; Semantic Role Labelling; Speech Recognition
	URL: https://hal.inria.fr/hal-03031413 https://doi.org/10.1109/TNNLS.2021.3095140 https://hal.inria.fr/hal-03031413v3/file/PedrelliHinaut2020_preprint_HAL-v3.pdf https://hal.inria.fr/hal-03031413v3/document
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10	The 'nouniness' of attributive adjectives and 'verbiness' of predicative adjectives: evidence from phonology
	Hollmann, Willem
	In: English language and linguistics. - Cambridge : Cambridge Univ. Press 25 (2021) 2, 257-279
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11	Annotated Corpus of Pre-Standardized Balkan Slavic Literature 1.1
	Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2021
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12	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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13	The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.2
	Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2021
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14	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
	大島デイヴィッド義和; 林みどり; David Yoshikazu OSHIMA. - : 国立国語研究所, 2021
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15	Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
	Yitagesu, Sofonias; Zhang, Xiaowang; Feng, Zhiyong. - : Zenodo, 2021
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16	Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions ...
	Yitagesu, Sofonias; Zhang, Xiaowang; Feng, Zhiyong. - : Zenodo, 2021
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17	Hachidaishu part of speech dataset ...
	Yamamoto, Hilofumi; Hodošček, Bor. - : Zenodo, 2021
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18	Hachidaishu part of speech dataset ...
	Yamamoto, Hilofumi; Hodošček, Bor. - : Zenodo, 2021
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19	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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20	A Comparative Study of Arabic Part of Speech Taggers Using Literary Text Samples from Saudi Novels
	Reyadh Alluhaibi; Tareq Alfraidi; Mohammad A. R. Abdeen; Ahmed Yatimi
	In: Information; Volume 12; Issue 12; Pages: 523 (2021)
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