Glossary Library

Technical GlossaryNatural Language Processing

Abstractive Summarization

A generative summarization approach that rewrites source text to produce more natural and dense summaries.

Abstractive summarization aims not merely to shorten text, but to restate its content in a more natural and compact way. This makes it powerful for human-like summary generation, but it also introduces the risk of factual drift and hallucination. It is important for executive summaries, dense short summaries, and user-friendly information delivery. In successful systems, faithfulness is as important as fluency.

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GAN-Based Synthetic Data

A synthetic data approach based on generating new data samples similar to the real distribution using generative adversarial networks.

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Diffusion-Based Synthetic Data

A modern synthetic data generation approach that reconstructs data distributions through noise injection and reverse sampling.

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Self-Attention

An attention mechanism in which each element in a sequence directly models its relationship with all others.