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[PDF][PDF] What do you mean? A Review on Recovery Strategies to Overcome Conversational Breakdowns of Conversational Agents.
Since the emergence of conversational agents, this technology has seen continuous
development and research. Today, advanced conversational agents are virtually …
development and research. Today, advanced conversational agents are virtually …
Supervised ensemble sentiment-based framework to measure chatbot quality of services
Develo** an intelligent chatbot has evolved in the last few years to become a trending
topic in the area of computer science. However, a chatbot often fails to understand the user's …
topic in the area of computer science. However, a chatbot often fails to understand the user's …
Neural-symbolic computing: a step toward interpretable AI in education
The application of machine learning in education has some challenges, including data bias,
sparsity, dependency on large amounts of data, and a lack of interpretability. Further, many …
sparsity, dependency on large amounts of data, and a lack of interpretability. Further, many …
IT Infrastructure, Knowledge Management and Firm Competitiveness: Exploring Mediating Role of IT Outsourcing in Nigeria
The interplay between technological and intellectual resources from within and outside
business firms can shape their level of competitiveness. This is militated by contemporary …
business firms can shape their level of competitiveness. This is militated by contemporary …
BETOLD: A task-oriented dialog dataset for breakdown detection
Abstract Task-Oriented Dialog (TOD) systems often suffer from dialog breakdowns-situations
in which users cannot or do not want to proceed with the conversation. Ideally TOD systems …
in which users cannot or do not want to proceed with the conversation. Ideally TOD systems …
Measuring chatbot quality of service to predict human-machine hand-over using a character deep learning model
Recently, intelligent dialogue systems have shown promise in terms of reducing the load of
human customer care agents and decreasing user wait times. In some cases, these systems …
human customer care agents and decreasing user wait times. In some cases, these systems …
Fuzzy prediction model to measure chatbot quality of service
Detecting breakdown is a common phenomenon in the conversational system, which is
referred to when the system fails to provide appropriate responses to the user. Existing studi …
referred to when the system fails to provide appropriate responses to the user. Existing studi …
Knowledge discovery computing for management
With the convergence of technology that enables different technologies to interoperate as a
whole, large data have been accumulated in various areas, including daily life, industry, and …
whole, large data have been accumulated in various areas, including daily life, industry, and …
Supervised fusion content-based framework for breakdown detection in task-oriented conversational systems
Conversational agents (CAs) have been widely used for many domains, such as healthcare,
education, and business. One main category of CAs is task-oriented CAs, which aim to help …
education, and business. One main category of CAs is task-oriented CAs, which aim to help …
Human-Computer Interaction for Knowledge Discovery for Management
The rising volume of data in our networked world is a huge problem that necessitates
practical and user-friendly solutions. Computational approaches may be useful, but we must …
practical and user-friendly solutions. Computational approaches may be useful, but we must …