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Titlebook: Computational Processing of the Portuguese Language; 14th International C Paulo Quaresma,Renata Vieira,Teresa Gonçalves Conference proceedi

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楼主: Arthur
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https://doi.org/10.1007/978-3-658-03567-9t these machine learning methods usually require large amounts of data to operate properly. Due to this, an assessment of the system’s ability to generalize to different instances becomes relevant, specially when learning from small data sets to create new voices. This study describes the assessment
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Noncooperative Supply Chain Schedulingferent types of speech and language disorders. This is the case of the Portuguese platform VITHEA, which provides remote access to automatic training sessions for aphasia rehabilitation. In VITHEA, patients’ answers to semantic confrontation exercises are validated using automatic speech recognition
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https://doi.org/10.1007/978-3-030-90374-9 situational irony. The function of situational irony is to lay emphasis on (real or fictional) events that evoke peculiar and unexpected images, which usually create a comical effect on the audience. In this paper, we investigate the linguistic and rhetorical devices underlying this phenomenon in a
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https://doi.org/10.1007/978-3-8349-8667-2ities that may prevent mismanagement of public funds. This paper presents a dataset composed of documents from the Official Gazette of the Federal District, containing both samples with document source annotation and unlabeled ones. We train, evaluate and compare a transfer learning based model that
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