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Text Summarization

[tɛkst ˌsʌməraɪˈzeɪʃən]
Natural Language Processing
Last updated: December 9, 2024

Definition

The automatic creation of concise and coherent summaries from longer texts.

Detailed Explanation

Text summarization can be extractive (selecting key existing sentences) or abstractive (generating new sentences). Modern approaches use neural networks to understand document structure and content, generating summaries that capture main ideas while maintaining readability and coherence.

Use Cases

News article summarization, document condensation, research paper abstracts, content curation

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