Under the Hood: The natural language interface of Graph Search

What this post added

This post details the development of a natural language interface for Graph Search, which leverages a structured graph database. The system employs entity recognition, lexical analysis, and semantic parsing with a weighted context-free grammar to understand user intent. It handles variations in user input, including grammatical errors and synonyms, and uses a cost structure for ranking interpretations. The underlying infrastructure for Graph Search, including indexing and ranking, has been previously described.