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Biobert Nli

Developed by gsarti
An improved model based on BioBERT, fine-tuned with SNLI and MultiNLI datasets for generating universal sentence embeddings
Downloads 933
Release Time : 3/2/2022

Model Overview

This model is an enhanced version of BioBERT, trained on natural language inference data to optimize sentence embedding generation, suitable for biomedical text processing.

Model Features

Biomedical Text Optimization
Pre-trained on BioBERT, particularly suitable for processing biomedical texts
Efficient Sentence Embedding
Trained on natural language inference data, capable of generating high-quality universal sentence embeddings
Performance Balance
Maintains advantages in the biomedical domain while achieving performance close to general BERT models

Model Capabilities

Sentence similarity calculation
Text semantic understanding
Biomedical text processing

Use Cases

Academic Research
Scientific Paper Retrieval
Scientific paper search system based on semantic similarity
Applied in the Covid Papers Browser project
Text Mining
Biomedical Relation Extraction
Extracting relationships between entities from biomedical literature
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