Negation_Scope_Detection_SFU: An Open-Source Spanish Negation Scope Detection Model - Accurately Identify the Negation Scope in Sentences

Negation Scope Detection SFU Spanish NLP CIC WFU DisTEMIST Fine Tuned

Developed by ajtamayoh

This model is a fine-tuned Spanish negation scope detection model based on ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT

Sequence Labeling

Transformers

Open Source License:Apache-2.0 #Spanish Negation Detection #Medical Text Analysis #Multilingual BERT

Downloads 15

Release Time : 6/28/2022

Model Overview

Used for detecting negation scope in Spanish texts, performing well in medical text processing

Model Features

High Accuracy

Achieves 95.18% accuracy on the evaluation set

Balanced Performance

Balanced performance in precision (74.03%) and recall (75.71%)

Medical Domain Optimization

Specifically optimized for negation expressions in medical texts

Model Capabilities

Spanish Text Processing

Negation Scope Recognition

Medical Text Analysis

Use Cases

Medical Text Processing

Electronic Medical Record Analysis

Identify the scope of negation expressions in Spanish electronic medical records

Helps accurately understand patient condition descriptions

Medical Literature Processing

Analyze negation statements in medical research literature

Assists in medical information extraction and research

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	72	0.2142	0.5227	0.6497	0.5793	0.9267
No log	2.0	144	0.2019	0.625	0.7062	0.6631	0.9420
No log	3.0	216	0.3089	0.6444	0.6554	0.6499	0.9432
No log	4.0	288	0.2376	0.6952	0.7345	0.7143	0.9478
No log	5.0	360	0.2876	0.7037	0.7514	0.7268	0.9538
No log	6.0	432	0.3077	0.7278	0.7401	0.7339	0.9534
0.091	7.0	504	0.3219	0.7403	0.7571	0.7486	0.9518

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Negation Scope Detection SFU Spanish NLP CIC WFU DisTEMIST Fine Tuned

Model Overview

Model Features

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Use Cases

🚀 Negation_Scope_Detection_SFU_Spanish_NLP-CIC-WFU_DisTEMIST_fine_tuned

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