Language Analysis and Calculation
XIA Qiaolin, SUI Zhifang, CHANG Baobao, ZHAN Weidong, ZHANG Kunli, KE Yonghong
2019, 33(8): 1-11.
The natural language understanding involves multiple categories of meaning, including propositions, modality, and temporal logic. The most popular study of shallow semantics is focused on the analysis of propositional meaning. Without supporting for conceptual meaning and deep logical meaning, it can be hardly used to assist the computer in deep understanding and reasoning of the text. Based on the theory of argument structures, event semantics, and construction grammar, this paper breaks through the limitations of shallow semantic analysis (e.g. semantic role labeling) and establishes a deep semantic representation system for concepts and logic. Based on a layered rendering annotation strategy, a large scale Chinese deep semantic annotated corpus is constructed, which also helps to verify the completeness and coverage of the description system by real practice. The establishment of this theore-tical system and the construction of language resources are expected to promote the innovative development of Chinese automatic semantic analysis technology and artificial intelligence.