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Roberta Base Biomedical Clinical Es Finetuned Ner
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Roberta Base Biomedical Clinical Es Finetuned Ner

Developed by asdc
A Spanish biomedical clinical text named entity recognition model fine-tuned based on PlanTL-GOB-ES/roberta-base-biomedical-clinical-es
Sequence Labeling
Transformers
Open Source License:Apache-2.0#Spanish Biomedical NER#Clinical Text Entity Recognition#RoBERTa Fine-tuning
Downloads 15
Release Time : 5/23/2022

Model Overview

This model is specifically designed for named entity recognition tasks in Spanish biomedical and clinical texts, fine-tuned from the base model for a specific dataset.

Model Features

Biomedical Domain Optimization
Specifically optimized for Spanish biomedical and clinical texts
Efficient Fine-tuning
Achieved good performance through 14 rounds of fine-tuning on the base model
Lightweight Inference
Based on RoBERTa-base architecture, balancing performance and efficiency

Model Capabilities

Spanish biomedical text processing
Clinical entity recognition
Sequence labeling

Use Cases

Medical Information Processing
Clinical Record Entity Extraction
Identify medical entities from Spanish clinical records
Biomedical Literature Analysis
Process specialized terminology in Spanish biomedical research literature
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