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Yingwen Fu

2 accepted papers

2023

MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL

AAAI 2023technical

Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries. Most advanced conversational text-to-SQL methods are incompatible with generative pre-trained language models (PLMs), such as T5. In this paper, we present a two-stage unif…

2022

Effective Unsupervised Constrained Text Generation based on Perturbed Masking

ACL 2022findings

Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample edit positions and actions, which may cause unnecessary search steps. In this paper, we propose PMCTG to improve effecti…