In our future work, we will explore attention-based neural models on sentiment analysis and compare them with weighting schemes designed by hands.
On the one hand, weight bias, caused by using original soft attention to extract memory information at each attention step, is avoided by both exploring attention and inner attention based GRU networks.
While affective processing is more frequently explored, attention and response selection during vicarious pain are underresearched with very few studies utilizing paradigms that specifically target these two areas.
Some recent studies exploring attention in chronic schizophrenia with the ANT have revealed contrasting results: One study reported impairment in orientation and executive attention [ 18], whereas others referred exclusively to a deficit in executive attention [ 19- 21] or in alerting [ 22].
However, future studies including a wider range of hearing loss, central auditory processing tests, and neuropsychological instruments exploring attention and executive processes would be necessary to establish robust conclusions on this topic.
We explore selective attention as a key conceptual inspiration from neurobiology that can motivate the design of information processing systems.
Among the architectures that this engine can explore, particular attention is given here to systems equipped with GPUs.
Another avenue for future work would be to explore visual attention mechanisms that operate on the images and investigate their role in meme generation tasks.
This issue merit further research attention to explore the possibilities to improve health care in IBD patients.
Indeed, visual tasks exploring exogenous attention typically consist of asking participants to direct their endogenous attention to a particular element (e.g., "the orientation of the line within the green circle") presented among other, irrelevant, endogenously unattended elements or distractors (e.g., green diamonds with their own line inside).
