痛苦一生
发表于 2025-3-25 03:26:03
Generative Adversarial Network-Based Semi-supervised Learning for Pathological Speech Classification In this paper, we propose a semi-supervised learning approach that employs a generative adversarial network to incorporate both labelled and unlabelled data into training. We observe a promising accuracy gain with this approach compared to a baseline convolutional neural network trained only on labelled pathological speech data.
Minuet
发表于 2025-3-25 11:00:25
BERT-Based Sentiment Analysis Using Distillationaset and distilled the knowledge into a single production model. Moreover, we proposed an improved BERT’s pooling layer architecture, which outperforms standard classification layer while enables per-token sentiment predictions. We demonstrate our improvements on a publicly available dataset with Czech movie reviews.
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发表于 2025-3-25 14:59:42
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发表于 2025-3-25 16:54:04
0302-9743Cardiff, UK, in October 2020.. The 13 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 25 submissions. They papers cover the wide spectrum of statistical methods that are currently in use in computational language or speech processing..9
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发表于 2025-3-25 21:14:10
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Pruritus
发表于 2025-3-26 02:51:47
FacTweet: Profiling Fake News Twitter Accountsistic features. Our method extracts a set of features from the timelines of news Twitter accounts by reading their posts as chunks, rather than dealing with each tweet independently. We show the experimental benefits of modeling latent stylistic signatures of mixed fake and real news with a sequential model over a wide range of strong baselines.
放肆的你
发表于 2025-3-26 07:51:37
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mortgage
发表于 2025-3-26 09:10:18
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/876455.jpg
Herd-Immunity
发表于 2025-3-26 14:07:48
https://doi.org/10.1007/978-3-030-59430-5artificial intelligence; computational linguistics; computer science; computer systems; data mining; data
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发表于 2025-3-26 18:28:48
978-3-030-59429-9Springer Nature Switzerland AG 2020