Ru Li, Yunxiao Zhao, Zhiqiang Wang, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han, Hongyan Zhao. A Comprehensive Overview of CFN From a Commonsense Perspective[J]. Machine Intelligence Research. DOI: 10.1007/s11633-023-1450-8
Citation: Ru Li, Yunxiao Zhao, Zhiqiang Wang, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han, Hongyan Zhao. A Comprehensive Overview of CFN From a Commonsense Perspective[J]. Machine Intelligence Research. DOI: 10.1007/s11633-023-1450-8

A Comprehensive Overview of CFN From a Commonsense Perspective

  • Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an important role in research on Chinese language understanding. It is based on the theory of frame semantics and English FrameNet (FN). The CFN knowledge base contains a wealth of scenario commonsense knowledge, including frames, frame elements, and frame relations, as well as annotated instances with rich scenario-related labels on Chinese sentences and discourses. In this paper, we conduct a comprehensive overview of CFN from a commonsense perspective, covering topics such as scenario commonsense representation, CFN resources, and its applications. We also summarize recent breakthroughs and identify future research directions. First, we introduce the concept of scenario commonsense, including its definitions, examples, and representation methods, with a focus on the relationship between scenario commonsense and the frame concept in CFN. In addition, we provide a comprehensive overview of CFN resources and their applications, highlighting the newly proposed frame-based discourse representation and a human-machine collaboration framework for expanding the CFN corpus. Furthermore, we explore emerging topics such as expanding the CFN resource, improving the interpretability of machine reading comprehension, and using scenario CKBs for text generation.
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