Facet-Joints
发表于 2025-3-25 05:56:04
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讲个故事逗他
发表于 2025-3-25 10:40:14
Andrey Filchenkov,Lidia Pivovarova,Jan ŽižkaIncludes supplementary material:
持续
发表于 2025-3-25 14:07:51
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/162256.jpg
MAPLE
发表于 2025-3-25 17:14:18
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死亡
发表于 2025-3-25 21:59:03
978-3-319-71745-6Springer International Publishing AG 2018
都相信我的话
发表于 2025-3-26 01:40:13
Semantic Feature Aggregation for Gender Identification in Russian Facebook Russian. We collect Facebook posts of Russian-speaking users and apply them as a dataset for two topic modelling techniques and a distributional clustering approach. The output of the algorithms is applied as a feature aggregation method in a task of gender classification based on a smaller Faceboo
万灵丹
发表于 2025-3-26 07:06:34
Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traitsanging from psychology to marketing, but there are very few works of this kind on Russian-speaking samples. We use Latent Dirichlet Allocation on the Facebook status updates to extract interpretable features that we then use to identify Facebook users with certain negative psychological traits (the
HAVOC
发表于 2025-3-26 12:13:06
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APNEA
发表于 2025-3-26 14:53:53
Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systemsspeech addressed to real humans. In this work, several modalities were analyzed, and acoustic data has been chosen as the main modality by reason of the most flexible usability in modern SDSs. To resolve the problem of addressee detection, deep learning methods such as fully-connected neural network
异端邪说2
发表于 2025-3-26 17:36:53
Deep Neural Networks in Russian Speech Recognitionts. We propose applying various DNNs in automatic recognition of Russian continuous speech. We used different neural network models such as Convolutional Neural Networks (CNNs), modifications of Long short-term memory (LSTM), Residual Networks and Recurrent Convolutional Networks (RCNNs). The presen