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

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https://doi.org/10.1007/978-3-8349-8489-0ustomers emails from a general entrance email box sent to Banco do Brasil. Afterwards, it classifies the emails by their content (message body) and forwards them to other four Specific Email Boxes (SEBs), according to the demand or business of the customer found in the email body. The application wa

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Wege zum Manager der Supply Chainus to build a supervised model, and employs the same features regardless of the task. Our experiments cover two types of features, contextualized embeddings and lexical features, which we evaluate separately and in combination. The model is derived from a voting strategy on an ensemble of distinct r

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Computational Processing of the Portuguese Language978-3-030-41505-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-642-32021-7between stimulus and imitation – the so-called similarity intonation scores – have been computed applying Dynamic Time Warping (DTW) for different feature subsets, and have afterwards been used as input features of a binary classifier. Performance achieves up?to 66.9% of accuracy in the test data se