Results 21 to 30 of about 8,163 (222)
Improving Text-to-SQL Evaluation Methodology [PDF]
To be informative, an evaluation must measure how well systems generalize to realistic unseen data. We identify limitations of and propose improvements to current evaluations of text-to-SQL systems. First, we compare human-generated and automatically generated questions, characterizing properties of queries necessary for real-world applications.
Finegan-Dollak, Catherine +6 more
openaire +2 more sources
Forensic detection of medical image manipulation using PACS and DICOM artifacts. [PDF]
Abstract With the digitization of medical information, illegal activities such as medical crimes and insurance fraud through tampering have increased. Medical images are particularly vulnerable due to their nature as soft copies and their transmission over networks.
Oh S +5 more
europepmc +2 more sources
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
17 pages, 12 figures, 9 ...
Deng, Naihao +4 more
openaire +2 more sources
Combinatorial Generalization Ability Evaluation Method of SQL-to-text Model [PDF]
Translating from Structured Query Language(SQL) to natural language can improve the usability of a database. Some progress is currently being made in this research, which mainly uses machine learning models.
Lin CHEN, Yuankai FAN, Zhenying HE, Xiaoqing LIU, Yang YANG, Lumin TANG
doaj +1 more source
SEA-SQL: semantic-enhanced text-to-SQL with adaptive refinement
Comment: The article has been accepted by Frontiers of Computer Science (FCS), with the DOI: {10.1007/s11704-025-41136-3}
Li, Chaofan +3 more
openaire +3 more sources
Chinese Text-to-SQL Model for Postgraduate Admissions Consultation [PDF]
Postgraduate admissions consultation is a representative short-term and high-frequency Question-and-Answer (Q&A) application scenario. In response to the problem that the enrollment Q&A system based on the word vector method is not precise enough
WANG Qingfeng, LI Xu, YAO Chunlong, CHENG Tengteng
doaj +1 more source
Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex ...
DongHyun Choi +3 more
doaj +1 more source
Structure-Grounded Pretraining for Text-to-SQL [PDF]
Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to ground them in the given database schema. In this paper, we present a novel weakly supervised Structure-Grounded pretraining framework (StruG) for text-to-SQL that can ...
Deng, Xiang +5 more
openaire +2 more sources
Hypergraph Neural Networks for Cross-domain Text-to-SQL [PDF]
Graph Neural Network (GNN) have been widely used as encoders in recent years for cross-domain Text-to-SQL. The encoding process based on GNN substantially improves the generalization of generative models under cross-domain Text-to-SQL by capturing the ...
HAO Zhifeng, LI Yanglin, XU Boyan, CAI Ruichu
doaj +1 more source
Research on Technology of Generating Multi-table SQL Query Statement by Natural Language
SQL (structured query language) query generation from natural language is not only one of the most important parts of constructing intelligent database query system, but also one of the difficulties in the individualized operation and maintenance of ...
CAO Jinchao, HUANG Tao, CHEN Gang, WU Xiaofan, CHEN Ke
doaj +1 more source

