Results 61 to 70 of about 82,951 (280)
Effect of semantic distance on learning structured query language: An empirical study
Frontiers in Psychology, 2022 Students of database courses usually encounter difficulties in learning structured query language (SQL). Numerous studies have been conducted to improve how students learn SQL. However, learning SQL remains difficult. This study analyzed the difficulties
Shin-Shing Shin
doaj +1 more source
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IRNet aims to address two challenges: 1) the mismatch between intents expressed in natural language (NL) and the implementation details in SQL; 2) the challenge in ...
Jiaqi Guo +6 more
semanticscholar +1 more source
Advanced Theory and Simulations, EarlyView.Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley +1 more source
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Trans. Mach. Learn. Res.One impressive emergent capability of large language models (LLMs) is generation of code, including Structured Query Language (SQL) for databases. For the task of converting natural language text to SQL queries, Text-to-SQL, adaptation of LLMs is of ...
Ruoxi Sun +6 more
semanticscholar +1 more source
Advanced Science, EarlyView.Three isoreticular Two dimensional (2D) conjugated metal–organic framework (2D c‐MOF) analogs with different redox‐active centers are synthesized as cathode materials for high‐performance sodium‐ion batteries. Notably, the [CuO4] and TTPQ (integrating both quinone and pyrazine structures) units within Cu‐TTPQ, serving as multiple redox‐active sites ...
Meiling Qi +9 more
wiley +1 more source
Improving Text-to-SQL with a Hybrid Decoding Method
Entropy, 2023 Text-to-SQL is a task that converts natural language questions into SQL queries. Recent text-to-SQL models employ two decoding methods: sketch-based and generation-based, but each has its own shortcomings.
Geunyeong Jeong +6 more
doaj +1 more source
Detection of SQL Injection Attack Using Machine Learning Techniques: A Systematic Literature Review
Journal of Cybersecurity and Privacy, 2022 An SQL injection attack, usually occur when the attacker(s) modify, delete, read, and copy data from database servers and are among the most damaging of web application attacks.
Maha Alghawazi +2 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
ChatMolData: A Multimodal Agent for Automatic Molecular Data Processing
Advanced Intelligent Systems, EarlyView.While large language models (LLMs) struggle with molecular data due to single‐modality limitations, ChatMolData—a multimodal agent for processing databases, images, structure files, and documents—is presented. It combines LLMs with tools for retrieval, structuring, prediction, visualization, and search, achieving > 90% accuracy across 128 tasks.
Yi Yu +5 more
wiley +1 more source