Research on Neologism Detection in Entity Attribute Knowledge Acquisition
Ke Wang, Honglin Wu · 2017
According to the requirements for the construction of the knowledge system of the entity attribute framework, the acquisition of attributes is extracted from large-scale real corpus.Real corpus must contain neologisms which cannot be identified by word segmentation program.This paper proposed a method of Chinese neologism detection which can discovery new words in real corpus, and can be used to revise the initial results of the word segmentation.The experimental result showed that the proposed method performance well on the real corpus of different fields, and may provide more accurate input for subsequent processing.