Architecture of Knowledge Extraction System based on NLP
Wei Zhuang · 2021 International Conference on Aviation Safety and Information Technology · 2021
Knowledge extraction is to extract useful structured text information from messy free text. Under the current massive information background, it has attracted extensive attention. This paper analyzes the concept of NLP and the application process of NLP algorithm, discusses web information retrieval system, information extraction based on natural language processing and text relationship extraction, and tests the pipeline performance. The results show that the pipeline time is not linearly correlated with the size of the novel, but positively correlated.