A logic-based NLP pipeline converts sentences to first-order logic and uses possible-world truth tables to classify implication, inconsistency, and indifference, with perfect scores on three small self-built datasets.
A framework supporting imprecise queries and data
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abstract
This technical report provides some lightweight introduction and some generic use case scenarios motivating the definition of a database supporting uncertainties in both queries and data. This technical report is only providing the logical framework, which implementation is going to be provided in the final paper.
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cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Verified Language Processing with Hybrid Explainability: A Technical Report
A logic-based NLP pipeline converts sentences to first-order logic and uses possible-world truth tables to classify implication, inconsistency, and indifference, with perfect scores on three small self-built datasets.