Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

Key Points

• This research aims to improve question answering systems by utilizing staged query graph generation through semantic parsing.
• Developed a method for generating query graphs from natural language questions.
• Implemented a knowledge base for semantic parsing and question answering.
• Evaluated the performance through computational linguistic metrics.
• Demonstrated enhanced accuracy in question answering using the query graph method compared to traditional approaches.
• Achieved significant improvements in response time and relevant answer retrieval.”