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Compositional Semantics and Inference System for Temporal Order based on Japanese CCG
[article]
2022
arXiv
pre-print
Natural Language Inference (NLI) is the task of determining whether a premise entails a hypothesis. NLI with temporal order is a challenging task because tense and aspect are complex linguistic phenomena involving interactions with temporal adverbs and temporal connectives. To tackle this, temporal and aspectual inference has been analyzed in various ways in the field of formal semantics. However, a Japanese NLI system for temporal order based on the analysis of formal semantics has not been
arXiv:2204.09245v1
fatcat:rurldsx6abaedmk3qn5s3mbjwy