Programmer Model

A machine learning model used in Google's Q&A process via the Knowledge Graph, translating a natural language question into an executable program.

The Programmer Model is the machine learning component responsible for the second step in Google’s Knowledge Graph (KG) question-answering process: Answering Questions.
This model’s function is to receive a natural language question submitted by a user (e.g., “Who is Barack Obama married to?”) and translate it into an executable program. This program is essentially a set of instructions designed to navigate the KG by querying its entities and relationships (like searching for the “is married to” relationship linked to “Barack Obama”).
The result of this query execution is the provision of a clear and concise answer extracted directly from the graph. This sophisticated two-step process (Encoder Model building the KG, Programmer Model querying it) allows Google to bypass traditional keyword matching and provide direct, factual answers on the SERP, such as a Knowledge Panel or Answer Box result.

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