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81
Assessing agrammatic aphasia (Dyson et al., 2022) ...
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82
Assessing agrammatic aphasia (Dyson et al., 2022) ...
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83
nkresearch ...
hyun, eileen. - : figshare, 2022
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84
nkresearch ...
hyun, eileen. - : figshare, 2022
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85
nkresearch ...
hyun, eileen. - : figshare, 2022
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86
nkresearch ...
hyun, eileen. - : figshare, 2022
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87
nkresearch ...
hyun, eileen. - : figshare, 2022
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88
StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
Ni, Pin; Li, Gangmin; Hung, Patrick C.K.. - : Elsevier Ltd, 2022
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89
Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
Agüero Torales, Marvin Matías. - : Universidad de Granada, 2022
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90
Brazilian Portuguese verbal databases ; Bases lexicais verbais do português brasileiro
In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022)
Abstract: This paper presents a survey and an analysis of Brazilian Portuguese lexical verbal databases, which are possible to use in Natural Language Processing (NLP) tasks. For this purpose, we considered for analysis only databases with a dimension greater than 1.000 verbal lexemes, free online access, and updated in the last 10 years. Therefore, the study fell on the critical and comparative analysis of three lexical databases: VerbNet.Br (SCARTON, 2013), Verbo-Brasil (DURAN; ALUÍSIO, 2015) and VerboWeb (CANÇADO et. al., 2018), highlighting their commonalities and divergences. It is believed that this research contributes to updating the state-of-the-art, regarding the BP lexical verbal databases of the last decade, in addition to listing future investigations to create, revise and/or extend BP descriptive linguistic resources. ; Este artigo apresenta o levantamento e a análise de bases lexicais verbais do português brasileiro (PB), que podem ser utilizadas em tarefas de Processamento de Língua Natural (PLN). Para tanto, considerou-se para análise apenas bases de dados com extensão superior a 1.000 lexemas verbais, disponíveis de maneira on-line e gratuita e atualizadas nos últimos 10 anos. Sendo assim, o estudo recaiu sob a análise crítica e comparada de três bases lexicais: VerbNet.Br (SCARTON, 2013), Verbo-Brasil (DURAN; ALUÍSIO, 2015) e VerboWeb (CANÇADO et al., 2018), destacando-se seus pontos comuns e divergentes. Acredita-se que esta pesquisa contribui com a atualização do estado da arte, no que se refere às bases lexicais verbais do PB da última década, além de elencar ações investigativas futuras para criação, revisão e/ou ampliação de recursos descritivos linguísticos do PB.
Keyword: Bases de dados verbais; Lexicologia; Lexicology; Natural Language Processing; Processamento de Língua Natural; Verbal databases
URL: https://seer.ufu.br/index.php/dominiosdelinguagem/article/view/63470
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91
Representation learning of natural language and its application to language understanding and generation
Gong, Hongyu. - 2022
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92
Detecting weak and strong Islamophobic hate speech on social media
Vidgen, Bertie; Yasseri, Taha. - : Taylor & Francis, 2022
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93
An Empirical Study of Factors Affecting Language-Independent Models
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94
Using Geolocated Text to Quantify Location in Real Estate Appraisal
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95
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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96
Modeling Phishing Decision using Instance Based Learning and Natural Language Processing
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97
What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
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98
Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
Weigelt, Sebastian. - : KIT Scientific Publishing, Karlsruhe, 2022
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99
Um método adaptativo para análise sintática do Português Brasileiro. ; An adaptive method for syntactic analysis of Brazilian Portuguese.
Padovani, Djalma. - : Biblioteca Digital de Teses e Dissertações da USP, 2022. : Universidade de São Paulo, 2022. : Escola Politécnica, 2022
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100
Multitask Pointer Network for Multi-Representational Parsing
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