Transformers Are Used in Summarization Tasks

Transformer architectures can produce abstractive summaries of long documents.

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T5 and BART are Transformer models specialized for high-quality abstractive summarization tasks.

Encoder-decoder Transformers read input sequences and generate condensed outputs while preserving meaning. Multi-head attention allows the model to focus on key information across the document. Fine-tuning on summarization datasets improves fluency and informativeness.

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💥 Impact (click to read)

Abstractive summarization reduces reading time and enables automated content generation for media, research, and business.

Students and professionals can quickly understand complex texts through AI-generated summaries, improving efficiency and comprehension.

Source

Lewis et al., 2019 - BART

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