KRP-DS: A Knowledge Graph-Based Dialogue System with Inference-Aided Prediction

Summary: This article surveys deep learning based dialogue systems, comprehensively reviewing and analyzing the state-of-the-art research outcomes in this field. It discusses different models in terms of principles, characteristics, and applications, and explores task-oriented and open-domain dialogue systems as two streams of research. The article also reviews evaluation methods and datasets for dialogue systems, and identifies possible future research trends.

Summary: This survey provides a comprehensive review of knowledge graphs, covering topics such as knowledge graph representation learning, knowledge acquisition and completion, temporal knowledge graphs, and knowledge-aware applications. The study proposes a categorization and taxonomies on these topics, as well as explores emerging themes like metarelational learning, commonsense reasoning, and temporal knowledge graphs. Additionally, the research offers curated data sets and open-source libraries to facilitate future research in the field of knowledge graphs.