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Unifying Structured Data as Graph for Data-to-Text Pre-Training., , , , , , , , , and 1 other author(s). CoRR, (2024)Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing., , , , , , , , , and . CoRR, (2021)S²SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers., , , , , , , and . ACL (Findings), page 1254-1262. Association for Computational Linguistics, (2022)Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs., , , , , , , , , and 7 other author(s). NeurIPS, (2023)Plan-then-Seam: Towards Efficient Table-to-Text Generation., , , , , , and . EACL (Findings), page 205-219. Association for Computational Linguistics, (2023)Graph-to-Text Generation with Dynamic Structure Pruning., , , , , , and . COLING, page 6115-6127. International Committee on Computational Linguistics, (2022)Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing., , , , , , , , , and . AAAI, page 13116-13124. AAAI Press, (2021)Dynamic Memory Induction Networks for Few-Shot Text Classification., , , , and . ACL, page 1087-1094. Association for Computational Linguistics, (2020)CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality., , , , , , , , and . ACL (1), page 2983-3000. Association for Computational Linguistics, (2023)Implicit discourse relation identification based on tree structure neural network., , , and . IALP, page 334-337. IEEE, (2017)