Titlebook: Computational Linguistics and Intelligent Text Processing; 19th International C Alexander Gelbukh Conference proceedings 2023 Springer Natu

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,Abkürzungen und Formelzeichen,od called . to learn emoji-based representations of resource-poor languages by jointly training them with resource-rich languages using a siamese network..CESNA model consists of twin Bi-directional Long Short-Term Memory Recurrent Neural Networks (Bi-LSTM RNN) with shared parameters joined by a con

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https://doi.org/10.1007/978-3-663-07321-5e, in this paper we identify the contents and sentiments in images through the fusion of both image and text features. We leverage on the fact that AlexNet is a pre-trained model with great performance in image classification and the corresponding set of images are extracted from the web. In particu

Euphonious

https://doi.org/10.1007/978-3-663-07321-5f the major contribution it could make to real applications. The current study focuses on far-field speech emotion recognition using the state-of-the-art spontaneous IEMOCAP emotional data. For classification, a method based on deep convolutional neural networks (DCNN) and extremely randomized trees

Tremor

https://doi.org/10.1007/978-3-663-04448-2, and syntactic structure identification by means of both intrinsic and extrinsic evaluation methods. For such, we use in this work well-known metric for parser evaluation such as bracket cross, leaf ancestor for intrinsic evaluation, as well as the application of such parsers to the task of noun ph

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232601.jpg

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