Model Selection

BERT Feature Extraction

# BERT Feature Extraction

Sentence Bert Base Ja Mean Tokens

This is a Japanese-specific sentence embedding model based on the BERT architecture, designed to generate semantic vector representations of sentences and calculate sentence similarity.

Text Embedding Japanese

Unsup Simcse Bert Large Uncased

SimCSE is a simple contrastive learning framework for generating high-quality sentence embeddings, particularly suitable for unsupervised learning scenarios.

Biosyn Sapbert Ncbi Disease

A biomedical entity recognition model based on BioBERT developed by Dmis-lab at Korea University, specializing in feature extraction tasks for the NCBI disease dataset

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