Titlebook: Knowledge Science, Engineering and Management; 14th International C Han Qiu,Cheng Zhang,Sun-Yuan Kung Conference proceedings 2021 Springer

epicardium

Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classificationelation features with information deficit caused by the scarcity of samples and lacking of significant distinguishing features. Existing methods ignore the latter problem. What’s worse, while there is a big difference between the source domain and the target domain, the generalization performance of

LATE

放大

裝飾

爭(zhēng)吵加

GLIB

Allure

A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detectionl role in multi-relationship complex system analysis, thus gradually gaining popularity especially in the optimization algorithms. The multi-objective optimization (MOOP) methods attract attention owing to the flexibility in solving community detection problems. Nevertheless, most of the MOOP method

新娘

Named Entity Recognition Based on Reinforcement Learning and Adversarial Trainingon for named entity recognition. Our model can not only reduce the influence of noise in generated data, but also find more informative instances for training. In the pre-training stage of the model, in order to make full use of the data generated by distant supervision, we use reinforcement learnin

NOCT

Improved Partitioning Graph Embedding Framework for Small Clusterded parameters in large graphs, a single machine cannot load the entire graph into GPUs at once, so a partitioning strategy is required. However, there are some problems with partitioning strategies. Firstly, partitioning introduces data I/O and processing overhead, which increases training time, es

自由職業(yè)者