Semantic Parsing for Knowledge-Based Question Answering
In knowledge-based question answering, semantic parsing maps a natural-language question to a structured program that can be used to retrieve an answer. The resulting logical form may use predicate calculus or a query language such as SQL or SPARQL. Training may be fully supervised with question–logical-form pairs or weakly supervised with question–answer pairs.
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Data Science
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Knowledge-Based QA from RDF triple stores (Graph-based QA)
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A user says to their smart assistant, 'Play the newest rock album released after 2020 on the kitchen speaker.' Which of the following structured meaning representations most accurately and completely captures the user's intent?
A user gives the command: 'Find action movies directed by James Cameron'. A system converts this into the structured query:
SEARCH(genre: 'action', director: 'James Cameron', type: 'movie'). Match each component of the natural language command to the corresponding component in the structured query it produces.
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Related
Knowledge-Based QA from RDF triple stores (Graph-based QA)
How Knowledge Graph Incompleteness Limits Question Answering
Analyzing Semantic Parsing Complexity
A user says to their smart assistant, 'Play the newest rock album released after 2020 on the kitchen speaker.' Which of the following structured meaning representations most accurately and completely captures the user's intent?
A user gives the command: 'Find action movies directed by James Cameron'. A system converts this into the structured query:
SEARCH(genre: 'action', director: 'James Cameron', type: 'movie'). Match each component of the natural language command to the corresponding component in the structured query it produces.