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Semantic Parsing
Semantic parsing is a process in NLP that converts natural language sentences into structured, formal meaning representations. It exemplifies the principle of compositionality by deconstructing sentences into their constituent parts and then composing a complete meaning based on those parts and the rules that govern their combination. Historically, systems were more easily tested on highly compositional sentences where this decomposition was straightforward.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
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Semantic Parsing as an Example of Compositionality
Compositional Generalization in NLP
Evaluating a Language Processing Approach
An engineering team is building a system to interpret complex user requests for a smart home assistant. For the request, 'Set the bedroom thermostat to 72 degrees and then dim the lights,' which of the following system designs most closely follows the principle that a complex expression's meaning is determined by the meanings of its parts and the rules for combining them?
Semantic Parsing
Diagnosing a System Failure in Language Understanding
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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.