Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263427.jpg

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PMJEE: A Prototype Matching Framework for?Joint Event Extractioncode their label semantics and correlations. Then a dual-channel attention layer and extraction modules are used to jointly extract event triggers and arguments. Prototypical embeddings will be optimized during training to improve the event extraction performance. Extensive experiments indicate our

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Powering Fine-Tuning: Learning Compatible and?Class-Sensitive Representations for?Domain Adaption Ferent domains and obtain better representations. To enhance the stability and learning ability of contrastive learning-based fine-tuning, we design the data augmentation mechanism and type-aware networks to enrich the instances and stand out the class-sensitive features. Extensive experiments on the

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Modeling Intra-class and?Inter-class Constraints for?Out-of-Domain Detection constraint contrastive learning (Inter-CCL) objective to effectively enlarge the discrepancy among different classes as much as possible, enforcing the strong separability for different classes in the intent embedding space. Besides, to further enhance the discriminative representation capability o

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