Papers by Lawrence S. Moss

1 papers
NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning (2021.starsem-1)

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Challenge: Currently, symbolic and deep learning approaches to NLI are receiving less attention.
Approach: They propose a symbolic-based inference framework that integrates symbolic reasoning and semantic formalism to solve NLI tasks.
Outcome: The proposed framework improves accuracy on the NLI task and on the SICK and MED datasets.

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