Learning to Map Context-Dependent Sentences to Executable Formal Queries
Suhr, A.; Iyer, S.; and Artzi, Y. 2018 · 2018
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Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Bogin, B.; Berant, J.; and Gardner, M. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
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Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Guo, J.; Zhan, Z.; Gao, Y.; Xiao, Y.; Lou, J.; Liu, T.; and Zhang, D. 2019 · 2019
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FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Huang, H.; Choi, E.; and Yih, W. 2019 · 2019
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A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
Hwang, W.; Yim, J.; Park, S.; and Seo, M. 2019 · 2019
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke, A.; Gross, S.; Massa, F.; Lerer, A.; Bradbury, J.; Chanan, G.; Killeen, T.; Lin, Z.; Gimelshein, N.; Antiga, L.; Desmaison, A.; Köpf, A.; Yang, E.; DeVito, Z.; Raison, M.; Tejani, A.; Chilamkurthy, S.; Steiner, B.; Fang, L.; Bai, J.; and Chintala, S. 2019 · 2019
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Reranking for Neural Semantic Parsing
Yin, P.; and Neubig, G. 2019 · 2019
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Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Zhang, R.; Yu, T.; Er, H.; Shim, S.; Xue, E.; Lin, X. V.; Shi, T.; Xiong, C.; Socher, R.; and Radev, D. R. 2019 · 2019
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How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Liu, Q.; Chen, B.; Guo, J.; Lou, J.; Zhou, B.; and Zhang, D. 2020 · 2020
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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Pareja, A.; Domeniconi, G.; Chen, J.; Ma, T.; Suzumura, T.; Kanezashi, H.; Kaler, T.; Schardl, T. B.; and Leiserson, C. E. 2020 · 2020
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RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
Wang, B.; Shin, R.; Liu, X.; Polozov, O.; and Richardson, M. 2020 · 2020
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