Rail transit standard entity relationship automatic completion method based on artificial intelligence

• Main Authors: LIU YAOLIN, LIU RUI, LYU HONGJIN, FENG LINLIN, ZHANG JINYUAN, LIU XUHUA, HEI XINHONG, LIN HONG, ZHU LEI
• Format: Patent
• Language: Chinese; English
• Published: 28.08.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a rail transit standard entity relationship automatic completion method based on artificial intelligence. The method comprises the steps of constructing an entity relationshipcompletion model, inputting the rail transit specification and part-of-speech segmentation of nouns into an entity relationship completion model; judging whether the input specification is a simple sentence or not; if yes, searching entity related attributes in the rail transit specification; generating an entity relationship triple; if not, extracting later sentence attribute words and entities of the rail transit specification, matching the former sentence entities and later sentence attribute words in a n:n manner, or judging whether the the former sentence grammar is subject-verb-object ornot and the latter sentence grammar is object complement; if yes, directly matching the former sentence entities with the objects and directly matching the later sentence keywords with the object entities to generate entity r