Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s)

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Fantastic Gradients and?Where to?Find Them: Improving Multi-attribute Text Style Transfer by?Quadratolves editing the latent representations of text, guided by gradients from an attribute classifier. However, in multi-attribute TST, the simultaneous satisfaction of all required attributes remains challenging. In this paper, we unveil that the gradient direction during editing might conflict with c

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Entropion

Semantic Candidate Retrieval for?Few-Shot Entity Linking exhibit the great performances on the standard datasets, but in real-world applications, they are computationally intensive and expensive in large-scale processing, and the entity entries are limited to the knowledge bases. The newly-emerging entities may hinder the generalization ability of the EL

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ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Model Based on?ERNIE and?Adversarial Trainiodel and achieves accurate linking of Chinese few-shot emerging entities by adding adversarial perturbations during the training process. Experimental results on standard entity linking evaluation datasets demonstrate significant performance improvements of our proposed model compared to baseline mo

音的強(qiáng)弱

HWCGEC:HW-TSC’s 2023 Submission for?the?NLPCC2023’s Chinese Grammatical Error Correction Taskalled HWCGEC which get the best performance among the seven submitted results in the NLPCC2023 shared task 1, namely Chinese grammatical error correction (CGEC). CGEC aims to automatically correct grammatical errors that violate language rules and converts the noisy input texts to clean output texts

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