#entity-recognition

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fromHackernoon
1 year ago

LLM Probabilities, Training Size, and Perturbation Thresholds in Entity Recognition | HackerNoon

The article explores the intersection of natural language processing and privacy, emphasizing Differential Privacy as a method to protect data.
The research identifies key indicators for evaluating privacy risks in NLP applications.
fromHackernoon
1 year ago

How Privacy Risk Indicators Impact Text Sanitization | HackerNoon

The study establishes effective indicators for assessing privacy risks in natural language processing.
#privacy-preservation
fromHackernoon
1 year ago
Privacy technologies

How Text Span Analysis Enhances Data Privacy | HackerNoon

Incorporating text context improves predictions for high privacy risk spans in NLP data.
fromHackernoon
1 year ago
Privacy technologies

Improving Privacy Risk Detection with Sequence Labelling and Web Search | HackerNoon

Using a fine-tuned language model can improve privacy risk assessment in data anonymization through effective sequence labeling.
fromHackernoon
1 year ago
Privacy technologies

Improving Privacy Risk Detection with Sequence Labelling and Web Search | HackerNoon

more#privacy-preservation
#natural-language-processing
more#natural-language-processing
OMG science
fromHackernoon
7 months ago

AI Model Reads Thousands of Studies, Nails Battery Science Better Than Expected | HackerNoon

Darwin outperforms LLaMA and LLaMA2 in NER and RE tasks for materials science.
Artificial intelligence
fromHackernoon
7 months ago

This AI Doesn't Just Skim Scientific Papers-It Tags, Sorts, and Explains Them Too | HackerNoon

The article discusses the training and evaluation of various LLM models with a focus on NER and internal relation recognition.
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