psunlpgroup/XSemPLR
Data and code for ACL 2023 paper XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations
This project helps natural language processing researchers and practitioners evaluate and develop systems that translate natural language questions (like "How many singers do we have?") into structured query languages (like SQL) across many different human languages and database schemas. It provides a benchmark dataset and models for cross-lingual semantic parsing. Researchers and developers working on multilingual natural language understanding would use this.
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Use this if you are developing or evaluating semantic parsing models that need to work with diverse natural languages (22+ languages) and various structured query formats across many different application domains.
Not ideal if you are looking for an out-of-the-box solution to directly apply to a single, specific language or a very narrow domain without customization or further development.
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Jun 08, 2023
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