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A Comprehensive Overview of CFN From a Commonsense Perspective
Ru Li; Yunxiao Zhao; Zhiqiang Wang; Xuefeng Su; Shaoru Guo; Yong Guan; Xiaoqi Han; Hongyan Zhao
Source PublicationMachine Intelligence Research
AbstractChinese 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.
KeywordChinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge
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Document Type期刊论文
Collection学术期刊_Machine Intelligence Research
AffiliationKey Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
Recommended Citation
GB/T 7714
Ru Li,Yunxiao Zhao,Zhiqiang Wang,et al. A Comprehensive Overview of CFN From a Commonsense Perspective[J]. Machine Intelligence Research,2024,21(2):239-256.
APA Ru Li.,Yunxiao Zhao.,Zhiqiang Wang.,Xuefeng Su.,Shaoru Guo.,...&Hongyan Zhao.(2024).A Comprehensive Overview of CFN From a Commonsense Perspective.Machine Intelligence Research,21(2),239-256.
MLA Ru Li,et al."A Comprehensive Overview of CFN From a Commonsense Perspective".Machine Intelligence Research 21.2(2024):239-256.
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