WitrynaDespite achieving good performance on some public benchmarks, existing text-to-SQL models typically rely on the lexical matching between words in natural language (NL) questions and tokens in table schemas, which may render the models vulnerable to attacks that break the schema linking mechanism. WitrynaImproving Text-to-SQL Evaluation Methodology Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, …

Rui Zhang - GitHub Pages

WitrynaFirst, we compare human-generated and automatically generated questions, characterizing properties of queries necessary for real-world applications. To facilitate … Witryna2 dni temu · Improving Text-to-SQL Evaluation Methodology. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume … circle with a dot in the middle latex

NL2SQL: Natural Language to SQL Query Translator

WitrynaIn the process, we (1) introduce a new, challenging dataset, (2) standardize and fix many errors in existing datasets, and (3) propose a simple yet effective baseline … Witrynaquestion-based split fails to evaluate a system’s generalizability . In addition, by analyzing properties of human-generated and automatically generated text-to-SQL datasets, we show the need to evaluate on more than one dataset to ensure systems perform well on realistic data. And we release improved resources to facilitate such … WitrynaSemantic co-reference and ellipsis always lead to information deficiency when parsing natural language utterances with SQL in a multi-turn dialogue (i.e., conversational text-to-SQL task). The methodology of dividing a dialogue understanding task into dialogue utterance rewriting and language understanding is feasible to tackle this problem. To … circle with a dot symbol