# Semantic Relation Classification

RelBERT is a model based on RoBERTa-large, specifically designed for relation embedding tasks, trained on the SemEval-2012 Task 2 dataset using NCE (Noise Contrastive Estimation).

BERT is a pre-trained language model based on the Transformer architecture, developed by Google. This model excels in various natural language processing tasks, including text classification, question answering, and named entity recognition.