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Value-based Search in Execution Space for Mapping Instructions to Programs
TLDR
A search algorithm that uses the target world state, known at training time, to train a critic network that predicts the expected reward of every search state, and dramatically improves performance on all three domains compared to standard beam search and other baselines.
Tackling Spuriousness with Similarity
The goal of Semantic Parsing is to translate natural language utterances into logical forms that are executed against a target knowledge base. Ideally one would train the parser on the utterances and