This paper presents an emotion recognition system with textual input. In this system, an emotional semantic network is proposed to extract the semantic information related to emotion. The semantic network is composed of two subnetworks: a static semantic network and a dynamic semantic network. The static semantic network is established from an existing Chinese knowledge base called HowNet and u...

traumatic brain injury (tbi) is a common injury leading to child disability and is associated with a variety of long-term cognitive, social, and behavioral dysfunctions. emotion perception (ep) starts up an integral part of social communication is critical to achieve developmentally appropriate goals. this skill, which emerges relatively early in development, is driven by increasing connectivit...

We introduce a novel approach to measuring semantic relatedness of terms based on an automatically generated, large-scale semantic network. We present promising first results that indicate potential competitiveness with approaches based on manually created resources.

introduction: for many years, ontologies have been available in many different forms, for example: classification schema, thesauruses, authorized vocabularies, terminologies and dictionaries. terminology and knowledge resources are essential components of interoperability among disparate systems. so, this paper considered the ontology of umls (which was prepared by national library medicine of ...

Depth maps are acquirable and irreplaceable geometric information that significantly enhances traditional color images. RGB (RGBD) images have been widely used in various image analysis applications, but they still very limited due to challenges from different modalities misalignment between depth. In this paper, a Fully Aligned Fusion Network (FAFNet) for RGBD semantic segmentation is presente...