Semantic Comprehension Method for Chinese Sentences Based on Minimal Semantic Structures and Its Application

The importance of small Chinese sentences is no less than that sentences, which an inherent feature itself. According to this characteristic, paper proposes a sentence semantic understanding method for scientific and technological abstracts based on the minimum structure. Firstly, conceptual model was established identifying structure corpus verbs, relative words, prepositions markers Language Technology Planform (LTP) tools. Secondly, used extract abstract sentence. Finally, three experiments were carried out, namely, classification knowledge graph generation automatic inference discovery. Our study confirmed practical value experimental results show effect using understand semantics text better full stop sentence, can be as basic unit comprehension. This conducive in unstructured science technology sentences.