@inproceedings{0872df36612746879839b1991df5a97f,
title = "Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain",
abstract = "Querying financial databases with natural language has been a strong requirement for financial company staff in recent years. The common method for this task is to transform the natural language into structured query language (SQL), which is referred to as semantic parsing. In this paper, we propose a two-stage model for semantic parsing in large financial databases. The two-stage model consists of an integrated table retriever that is used to retrieve related tables from a large database and a knowledge-enhanced semantic parser that utilizes a knowledge base for SQL generation. Experimental results show that our model achieves decent performance, which ranks the first place on both development and test datasets of CCKS 2022 evaluation task 11.",
keywords = "Semantic parsing, Table question answering, Table retrieval",
author = "Nengzheng Jin and Dongfang Li and Junying Chen and Yubin Qiu and Qingcai Chen",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022 ; Conference date: 24-08-2022 Through 27-08-2022",
year = "2022",
doi = "10.1007/978-981-19-8300-9\_23",
language = "英语",
isbn = "9789811982996",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "214--220",
editor = "Ningyu Zhang and Meng Wang and Tianxing Wu and Wei Hu and Shumin Deng",
booktitle = "CCKS 2022 - Evaluation Track - 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Revised Selected Papers",
address = "德国",
}