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09/15/2022
Graph-to-Text Generation with Dynamic Structure Pruning
Most graph-to-text works are built on the encoder-decoder framework with...
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08/29/2022
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Text-to-SQL parsing is an essential and challenging task. The goal of te...
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03/14/2022
S^2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers
The task of converting a natural language question into an executable SQ...
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11/18/2021
SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing
Recently pre-training models have significantly improved the performance...
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03/07/2021
Improving Text-to-SQL with Schema Dependency Learning
Text-to-SQL aims to map natural language questions to SQL queries. The s...
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01/05/2021
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Semantic parsing has long been a fundamental problem in natural language...
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05/12/2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...
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10/21/2019
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification
Implicit discourse relation classification is of great importance for di...
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02/27/2019
