Papers with unguided search
Iterative Search for Weakly Supervised Semantic Parsing (N19-1)
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| Challenge: | Recent work has focused on training semantic parsers via weak supervision from denotations alone. |
| Approach: | They propose an iterative training algorithm that alternates between searching for consistent logical forms and maximizing the marginal likelihood of the retrieved ones. |
| Outcome: | The proposed algorithm outperforms the previous best systems on WikiTableQuestions and Cornell Natural Language Visual Reasoning (NLVR) iteratively train models that provide guidance to subsequent models to search for logical forms of increasing complexity, thus dealing with spuriousness. |