natural-language-processing-20
Abstractive Text Summarization
3260 papers • 126 benchmarks • 313 datasets
Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text. Source: Generative Adversarial Network for Abstractive Text Summarization Image credit: Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
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CNN / Daily Mail
CNN / Daily Mail
Abstractive Text Summarization from Il Post
Abstractive Text Summarization from Il Post
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5 papers 134,677
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