Papers with seed semantic parser
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL (2023.emnlp-main)
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| Challenge: | Using APEL, non-programmers can annotate natural language utterances with complex programs that represent their meaning. |
| Approach: | They introduce a framework in which non-programmers select among candidate programs generated by a seed semantic parser. |
| Outcome: | The proposed framework achieves the same annotation accuracy as the original expert annotators (75%) and exposes many subtle errors in the original annotations. |