MANAGING AMBIGUOUS DATE MENTIONS IN TRANSFORMING NATURAL LANGUAGE TO A LOGICAL FORM
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United States of America
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Mar 20, 2025
app pub date -
May 6, 2024
filing date -
May 6, 2024
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Abstract
Techniques are disclosed herein for managing ambiguous date mentions in natural language utterances in transforming natural language utterances to logical forms by encoding the uncertainties of the ambiguous date mentions and including the encoded uncertainties in the logical forms. In a training phase, training examples including natural language utterances, logical forms, and database schema information are automatically augmented and used to train a machine learning model to convert natural language utterances to logical form. In an inference phase, input database schema information is augmented and used by the trained machine learning model to convert an input natural language utterance to logical form.
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