Aspect-based sentiment analysis (ABSA) aims to identify the of an aspect in a given sentence and thus can provide people with comprehensive information. However, many conventional methods need help discover linguistic knowledge implicit sentences. Additionally, they are susceptible unrelated words. To improve performance model ABSA task, multi-task based on Bidirectional Encoder Representation ...

Auditory graph design and implementation often has been subject to criticisms of arbitrary or atheoretical decision-making processes in both research and application. Despite increasing interest in auditory displays coupled with more than two decades of auditory graph research, no theoretical models of how a listener processes an auditory graph have been proposed. The current paper seeks to pre...

The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and solution normally depend on the problem size. In this paper, we propose a symbolic scheduling scheme for a parameterized task graph which models coarse-grain DAG parallelism independent of the problem size. The algorith...

Abstract Graph generation is an extremely important task, as graphs are found throughout different areas of science and engineering. In this work, we focus on the modern equivalent Erdos–Rényi random graph model: variational autoencoder (GVAE) (Simonovsky Komodakis 2018 Int. Conf. Artificial Neural Networks pp 412–22). This model assumes edges nodes independent in order to generate entire at a ...

We investigate multi-task learning in a setting where relationships between tasks are modeled by a graph structure. Most existing methods treat all pairs of tasks as being equally related, which can be hurt performance when the true structure of task relationships is more complex. Our method uses regularization to encourage models for task pairs to be similar whenever they are connected in the ...

We report an investigation into the processes involved in a common graph-reading task using two types of Cartesian graph. We describe an experiment and eye movement study, the results of which show that optimal scan paths assumed in the task analysis approximate the detailed sequences of saccades made by individuals. The research demonstrates the computational inequivalence of two sets of infor...

The workload and stress associated with configural displays in two vigilance tasks were investigated. Two kinds of configural displays were employed: A bar graph display and an object display. A non-configural bar graph display served as a control group. Relative to the non-configural display, both configural displays improved performance in a task requiring integration of information, but were...