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Language Development

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...

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Related Experiment Video

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Using large language models for temporal relation extraction from pediatric clinical reports.

Judith Jeyafreeda Andrew^1,2, Juliette Potier¹, Nicolas Garcelon¹

¹Clinical Bioinformatics Laboratory, INSERM UMR1163, Imagine Institute, Université Paris Cité, Paris, F-75006, France.

|November 24, 2025

Summary

This summary is machine-generated.

Large language models (LLMs) show promise for extracting temporal relations from pediatric rare disease reports. Simplifying the task to binary classification significantly improved performance, enabling automated patient timeline creation.

Area of Science:

Clinical Natural Language Processing
Artificial Intelligence in Healthcare

Background:

Automated patient timeline creation is crucial for managing pediatric rare diseases.
Extracting temporal relations from clinical reports is a key challenge.

Keywords:

large language model patient timeline rare diseases temporal relation extraction

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