EXTOL
发表于 2025-3-26 23:26:00
An Improved Convolutional Neural Network Based on Noise Layerthe basis of the previous studies has been proposed. This method improves the generalization performance of the CNN model by adding corresponding noise to the feature image obtained after convolution operation. The constructed noise layer can be flexibly embedded in a certain position of the CNN str
肥料
发表于 2025-3-27 03:57:16
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extractionies mainly focus on English event detection, which suffering from error propagation due to the identify-then-classify paradigm. And these methods could not be applied to Chinese event extraction directly, because they suffer from the Chinese word-trigger mismatch problem. In this work, we explore th
合法
发表于 2025-3-27 07:38:19
http://reply.papertrans.cn/55/5441/544057/544057_33.png
prick-test
发表于 2025-3-27 10:18:16
http://reply.papertrans.cn/55/5441/544057/544057_34.png
Indict
发表于 2025-3-27 14:23:18
Bayesian Belief Network Model Using Sematic Concept for Expert Findingbe poor due to the mechanical text matching. In view of the above shortcomings, we use Bayesian belief network as a model frame, and two expert finding models are proposed. One is a basic semantic belief network retrieval model, in which BERT and LDA models are used, and the other is a compound sema
gain631
发表于 2025-3-27 18:30:38
http://reply.papertrans.cn/55/5441/544057/544057_36.png
使声音降低
发表于 2025-3-27 23:24:42
The Novel Efficient Transformer for NLPworks on edge devices with limited resources. With the advent of the Transformer model, several quantization techniques have been proposed to reduce the computation and model size. However, these existing quantization techniques use fixed bit-width assignments, which result in a significant degradat
drusen
发表于 2025-3-28 04:16:45
http://reply.papertrans.cn/55/5441/544057/544057_38.png
含沙射影
发表于 2025-3-28 09:00:49
http://reply.papertrans.cn/55/5441/544057/544057_39.png
Encumber
发表于 2025-3-28 13:09:55
http://reply.papertrans.cn/55/5441/544057/544057_40.png