Papers with executable semantic parsing

2 papers
Practical Semantic Parsing for Spoken Language Understanding (N19-2)

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Challenge: Existing systems that can handle a user's utterance are unable to handle Q&A or SLU.
Approach: They build a transfer learning framework for executable semantic parsing . they show it is effective for Q&A and for spoken language understanding .
Outcome: The proposed framework is effective for Q&A and Spoken Language Understanding . it can be learned by exploiting data on other domains, the authors show .
Calibrated Interpretation: Confidence Estimation in Semantic Parsing (2023.tacl-1)

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Challenge: Sequence generation models are increasingly being used to translate natural language into programs . calibration of such models is a key component of safety, says aaron sagar .
Approach: They investigate whether calibration of popular generation models varies across models and datasets . they find that calibration varies among models and data sets, and that it is important to include it in evaluations if it is included .
Outcome: The calibration of popular generation models varies across models and datasets . the authors find that the accuracy of models is dependent on confidence .

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