An NSM-based explication parser with fixed semantic rules produces emotion labels for events, achieving 0.33 accuracy on held-out crowd-sourced data while shifting empirical risk to an inspectable parser.
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Faithful by Definition: Emotion Analysis via Natural Semantic Metalanguage Explications
An NSM-based explication parser with fixed semantic rules produces emotion labels for events, achieving 0.33 accuracy on held-out crowd-sourced data while shifting empirical risk to an inspectable parser.