In the era of big data, multi-task learning has become one crucial technologies for sentiment analysis and classification. Most existing models are developed based on soft-sharing mechanism that less interference between different tasks than hard-sharing mechanism. However, there also fewer essential features model can extract with method, resulting in unsatisfactory classification performance....

Many developing countries face strains in meeting the demands for provision of health services because of limited medical personnel. This situation has been exacerbated by the continued "brain drain" of highly trained medical professionals, and, more recently, by the increased demand for HIV services, especially in countries with a generalized epidemic. This has led to renewed interest in task ...

Two experiments were conducted to investigate whether physical and observational practice in task-sharing entail comparable implicit motor learning. To this end, the social-transfer-of-learning (SToL) effect was assessed when both participants performed the joint practice task (Experiment 1--complete task-sharing), or when one participant observed the other performing half of the practice task ...

A central issue in the study of joint task performance has been one of whether co-acting individuals perform their partner's part of the task as if it were their own. The present study addressed this issue by using joint task switching. A pair of actors shared two tasks that were presented in a random order, whereby the relevant task and actor were cued on each trial. Responses produced action ...