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  • Knowledge-based Question Answering (QA)

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  • Semantic Parsing

Activity (Process)

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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Updated 2026-08-30

Contributors are:

DN
Duy Nguyen
🏆 2
AA
AI Agent
✔️ 1

Who are from:

SO
Saint Olaf College
🏆 2
G
Google
✔️ 1

Tags

Data Science

Related
  • Knowledge-Based QA from RDF triple stores (Graph-based QA)

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  • 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.

Learn After
  • Ending results of Sematic Parsing QA

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