Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines. Recently, many approaches have been devoted to perceiving conversational context by deep learning models. However, these approaches are insufficient in understanding the context due to lacking the ability to extract and integrate emotional clues. In this work, we propose novel Contextual Reasoning Networks (DialogueCRN) to fully understand the conversational context from a cognitive perspective. Inspired by the Cognitive Theory of Emotion, we design multiturn reasoning modules to extract and integrate emotional clues. The reasoning module iteratively performs an intuitive retrieving process and a conscious reasoning process, which imitates human unique cognitive thinking. Extensive experiments on three public benchmark datasets demonstrate the effectiveness and superiority of the proposed model.
Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines. Recently, many approaches have been devoted to perceiving conversational context by deep learning models. However, these approaches are insufficient in understanding the context due to lacking the ability to extract and integrate emotional clues. In this work, we propose novel Contextual Reasoning Networks (DialogueCRN) to fully understand the conversational context from a cognitive perspective. Inspired by the Cognitive Theory of Emotion, we design multiturn reasoning modules to extract and integrate emotional clues. The reasoning module iteratively performs an intuitive retrieving process and a conscious reasoning process, which imitates human unique cognitive thinking. Extensive experiments on three public benchmark datasets demonstrate the effectiveness and superiority of the proposed model.
This paper proposes a novel anonymous coordination authentication scenario for Grid computing security based on Trusted Computing technology, which can provide efficient and reliable anonymous identity authentication and remote platform attestation for Grid computing systems. The scenario gives a method of tagging the rogue Grid entities. Architecture of virtual organization in distributed Grid system is introduced and a Reference Trusted Agent (RTA) with time self-authentication feature using Platform Configuration Register is built into the architecture. The hierarchy of RTA in the software and hardware system, which consists of three main modules, is pointed out in detail. Furthermore, the exchanging protocol of building trust in the mutual system platform is explained. A detailed description for enforcing the security of platform access control and applications is given. The scenario is interpreted in detail through five steps, then an example of the scenario is given and the security mechanisms are compared to GT2, GT3, GT4 and Trust Management.
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