Search Results for author: Mingyang Pan

Found 3 papers, 3 papers with code

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

1 code implementation • 3 Jan 2023 • Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou

In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert questions into SQL queries over domain-specific tables.

Semantic Parsing Text-To-SQL

360

Paper
Code

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing

1 code implementation • 27 Dec 2022 • Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou

Text-to-SQL semantic parsing is an important NLP task, which greatly facilitates the interaction between users and the database and becomes the key component in many human-computer interaction systems.

Benchmarking Semantic Parsing +1

360

Paper
Code

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

1 code implementation • 15 Mar 2022 • Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou

Existing text-to-SQL semantic parsers are typically designed for particular settings such as handling queries that span multiple tables, domains or turns which makes them ineffective when applied to different settings.

Language Modelling Text-To-SQL

360

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.