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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2023; 32nd International C Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay Confe

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樓主: invigorating
51#
發(fā)表于 2025-3-30 08:37:13 | 只看該作者
52#
發(fā)表于 2025-3-30 13:00:49 | 只看該作者
,PairEE: A Novel Pairing-Scoring Approach for?Better Overlapping Event Extraction,n addition, we design a type-aware fusion layer to improve the extraction of event elements by explicitly exploiting predefined event type and argument role label information. Experiments on the FewFC demonstrate that our proposed model can significantly improve the performance of overlapping EE.
53#
發(fā)表于 2025-3-30 16:31:43 | 只看該作者
54#
發(fā)表于 2025-3-30 21:46:20 | 只看該作者
55#
發(fā)表于 2025-3-31 04:04:12 | 只看該作者
56#
發(fā)表于 2025-3-31 06:29:14 | 只看該作者
,Scherkraft- und Biegemomentenverl?ufe, with sentiment information to further improve the diversity of generated responses. Experimental results on both Chinese and English datasets show that our proposed model outperforms the state-of-the-art models available, demonstrating the importance of fusing multi-grained aspect information for targeted response generation.
57#
發(fā)表于 2025-3-31 10:05:49 | 只看該作者
58#
發(fā)表于 2025-3-31 16:50:59 | 只看該作者
59#
發(fā)表于 2025-3-31 18:46:22 | 只看該作者
,MEA-TransUNet: A Multiple External Attention Network for?Multi-Organ Segmentation,E, we construct MEA-TransUNet for accurate segmentation of medical images. We test our method on two datasets and the experimental results demonstrate its superior performance compared to other existing methods. Code and pre-trained models are coming soon.
60#
發(fā)表于 2025-3-31 22:08:01 | 只看該作者
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