Results 51 to 60 of about 8,163 (222)

SQL-to-Schema Enhances Schema Linking in Text-to-SQL

In sophisticated existing Text-to-SQL methods exhibit errors in various proportions, including schema-linking errors (incorrect columns, tables, or extra columns), join errors, nested errors, and group-by errors. Consequently, there is a critical need to filter out unnecessary tables and columns, directing the language models attention to relevant ...
Yang, Sun, Su, Qiong, Li, Zhishuai, Li, Ziyue, Mao, Hangyu, Liu, Chenxi, Zhao, Rui   +6 more
openaire   +2 more sources

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security [PDF]

ITM Web of Conferences
A pervasive security issue in web applications is database injection, enabling attackers to alter SQL queries in order to get unauthorized access to confidential information.
Lu Zhexi
doaj   +1 more source

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies [PDF]

, 2023
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev   +7 more
openalex   +1 more source

STaR-SQL: Self-Taught Reasoner for Text-to-SQL

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Generating step-by-step "chain-of-thought" rationales has proven effective for improving the performance of large language models on complex reasoning tasks. However, applying such techniques to structured tasks, such as text-to-SQL, remains largely unexplored.
He, Mingqian, Shen, Yongliang, Zhang, Wenqi, Peng, Qiuying, Wang, Jun, Lu, Weiming   +5 more
openaire   +2 more sources

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Generate Text-to-SQL Queries Based on Sketch Filling

IEEE Access
The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency.
Yinpei Fu, Songtao Ye, Hongjie Fan
doaj   +1 more source

Hierarchical Schema Representation for Text-to-SQL Parsing With Decomposing Decoding

IEEE Access, 2019
Most of existing studies on parsing natural language (NL) for constructing structured query language (SQL) do not consider the complex structure of database schema and the gap between NL and SQL query.
Meina Song, Zecheng Zhan, Haihong E.
doaj   +1 more source

Towards Text-to-SQL over Aggregate Tables [PDF]

, 2022
Shuqin Li, Kaibin Zhou, Zeyang Zhuang, Haofen Wang, Jun Ma   +4 more
openalex   +1 more source

The Coloniality of Data: Police Databases and the Rationalization of Surveillance from Colonial Vietnam to the Modern Carceral State

The British Journal of Sociology, EarlyView.
ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley   +1 more source