3260 papers • 126 benchmarks • 313 datasets
Automatic Document Summarization is the task of rewriting a document into its shorter form while still retaining its important content. The most popular two paradigms are extractive approaches and abstractive approaches. Extractive approaches generate summaries by extracting parts of the original document (usually sentences), while abstractive methods may generate new words or phrases which are not in the original document. Source: HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
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