A Neural Attention Model for Abstractive Sentence Summarization on ShortScience.org

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A Neural Attention Model for Abstractive Sentence Summarization
Rush, Alexander M. and Chopra, Sumit and Weston, Jason
arXiv e-Print archive - 2015 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by Denny Britz 8 years ago

TLDR; The authors apply a neural seq2seq model to sentence summarization. The model uses an attention mechanism (soft alignment).


#### Key Points

- Summaries generated on the sentence level, not paragraph level
- Summaries have fixed length output
- Beam search decoder
- Extractive tuning for scoring function to encourage the model to take words from the input sequence
- Training data: Headline + first sentence pair.

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