Columns Occurrences Graph to Improve Column Prediction in Deep Learning Nlidb
Natural language interfaces to databases (NLIDB) has been a research topic for a decade. Significant data collections are available in the form of databases. To utilize them for research purposes, a system that can translate a natural language query into
Shanza Abbas +3 more
doaj +1 more source
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison [PDF]
Shuo Sun +6 more
openalex +1 more source
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task. However, the absence of a systematical benchmark inhibits the development of designing effective, efficient and economic LLM-based Text-to-SQL solutions.
Ding, Bolin +6 more
core
Frequency and risk factors for tail injuries in UK dogs under primary veterinary care
Abstract Background Tail injuries in dogs can severely impact welfare and pose clinical challenges. This study aimed to describe the annual incidence and clinical management of tail injury in UK dogs under primary care and identify risk factors. Methods A nested case‒control design was used within a cohort of dogs under primary care in the UK in 2019 ...
Camilla Pegram +4 more
wiley +1 more source
TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study
This paper introduces TURSpider, a novel Turkish Text-to-SQL dataset developed through human translation of the widely used Spider dataset, aimed at addressing the current lack of complex, cross-domain SQL datasets for the Turkish language.
Ali Bugra Kanburoglu, Faik Boray Tek
doaj +1 more source
Enhanced Natural Language Interface for Web-Based Information Retrieval
Database application is at the core of most web application systems such as web-based email, source codes repository management, public scientific data repository management, news portals, and publication repository of various fields.
Tian Bai +4 more
doaj +1 more source
Review on enhancing clinical decision support system using machine learning
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 +4 more
wiley +1 more source
Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security [PDF]
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
Weakly Supervised Text-to-SQL Parsing through Question Decomposition
Text-to-SQL parsers are crucial in enabling non-experts to effortlessly query relational data. Training such parsers, by contrast, generally requires expertise in annotating natural language (NL) utterances with corresponding SQL queries.
Berant, Jonathan +2 more
core
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 +4 more
wiley +1 more source

