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Hybrid Pointer-Generator for Summarization by Tarik is a document available to read on EtoBox.
What is Hybrid Pointer-Generator for Summarization about?
1. The document proposes a novel neural network architecture called pointer-generator networks for abstractive text summarization. 2. Pointer-generator networks augment the standard sequence-to-sequence attentional model with two improvements: a hybrid pointer-generator ability to copy words from the source text and generate new words, and a coverage mechanism to track what has already been summarized to discourage repetition. 3. When applied to the CNN/Daily Mail summarization task, the pointer-generator
- Author
- Tarik
- Language
- EN