6 citations · 7 across the 5 of their papers we have counts for
5 papers
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing
Yuntao Li, Zhenpeng Su, Yutian Li +4
Translating natural language queries into SQLs in a seq2seq manner has attracted much attention recently. However, compared with abstract-syntactic-tree-based SQL generation, seq2s…
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Jian Song, Di Liang, Rumei Li +5
Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching. Meanwhile, dependency prior knowledge has also shown general benefits in…
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Sirui Wang, Di Liang, Jian Song +2
Transformer-based pre-trained language models such as BERT have achieved remarkable results in Semantic Sentence Matching. However, existing models still suffer from insufficient a…
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Sirui Wang, Kaiwen Wei, Hongzhi Zhang +2
Demonstration learning aims to guide the prompt prediction via providing answered demonstrations in the few shot settings. Despite achieving promising results, existing work only c…
Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL
Yuntao Li, Hanchu Zhang, Yutian Li +3
Conversational text-to-SQL aims at converting multi-turn natural language queries into their corresponding SQL (Structured Query Language) representations. One of the most intracta…