neural-attention-model-for-abstractive-sentence-summarization.md

A Neural Attention Model for Abstractive Sentence Summarization

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.