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- W3186125412 abstract "In this paper, we propose a globally normalized model for context-free grammar (CFG)-based semantic parsing. Instead of predicting a probability, our model predicts a real-valued score at each step and does not suffer from the label bias problem. Experiments show that our approach outperforms locally normalized models on small datasets, but it does not yield improvement on a large dataset." @default.
- W3186125412 created "2021-08-02" @default.
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- W3186125412 date "2021-01-01" @default.
- W3186125412 modified "2023-10-18" @default.
- W3186125412 title "A Globally Normalized Neural Model for Semantic Parsing" @default.
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- W3186125412 doi "https://doi.org/10.18653/v1/2021.spnlp-1.7" @default.
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