Abstract Relational extraction plays an important role in the field of natural language processing to predict semantic relationships between entities a sentence. Currently, most models have typically utilized tools capture high-level features with attention mechanism mitigate adverse effects noise sentences for prediction results. However, task relational classification, these mechanisms do not...

At present, 3D retrieval systems that are content-based become very popular. In these systems similar models from a database are retrieved in accordance with a form of a template model. In an early era text-based retrieval systems were designed. These systems assign keywords to each model and then they retrieve similar models by comparing a similarity of the keywords to a template. There are tw...

The asymptotic distribution of maximum likelihood estimators is derived for a class of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models. The result carries over to models for duration and realised volatility that use an exponential link function. A key feature of the model formulation is that the dynamics are driven by the score. Keywords: Duration models; g...