Semantic Annotation of Energy Data Using Ensemble Decision-Making with Large Language Models

This publication has 11 references indexed in Scilit:

• Schema matching based on energy domain pre-trained language model
  Energy Informatics, 2023
• Semi-Automatic Ontology Development Framework for Building Energy Data Management
  IEEE Access, 2023
• Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
  ACM Computing Surveys, 2023
• Annotating Columns with Pre-trained Language Models
  2022
• An ensemble learning method based on deep neural network and group decision making
  Knowledge-Based Systems, 2022
• Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis
  Energy and AI, 2021
• Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
  2021
• Semantic similarity and machine learning with ontologies
  Briefings in Bioinformatics, 2020
• Semantic annotation in biomedicine: the current landscape
  Journal of Biomedical Semantics, 2017
• Gene Ontology: tool for the unification of biology
  Nature Genetics, 2000