Early research of semantic parsing included the generation of grammar manually as well as utilizing applied programming logic. In the 2000s, most of the work in this area involved the creation/learning and … 展开

Datasets used for training statistical semantic parsing models are divided into two main classes based on application: those used for question answering via knowledge base queries, and those used for code generation.
Question answering 展开

The performance of Semantic parsers is also measured using standard evaluation metrics as like syntactic parsing. This can be evaluated for the ratio of exact matches (percentage of sentences … 展开

Shallow Semantic Parsing
Shallow semantic parsing is concerned with identifying entities in an utterance and labelling them with the roles they play. Shallow semantic parsing is sometimes known as slot-filling or frame semantic parsing, since its … 展开

Within the field of natural language processing (NLP), semantic parsing deals with transforming human language into a format that is easier for machines to understand and comprehend. This method is useful in a number of contexts:
• Voice … 展开

• Automatic programming
• Class (philosophy)
• Formal semantics (linguistics)
• Information extraction
• Information retrieval 展开