Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing

no code implementations • Findings (EMNLP) 2021 • Denis Lukovnikov, Sina Daubener, Asja Fischer

While neural networks are ubiquitous in state-of-the-art semantic parsers, it has been shown that most standard models suffer from dramatic performance losses when faced with compositionally out-of-distribution (OOD) data.

Out of Distribution (OOD) Detection Semantic Parsing