A Deep Reinforced Model for Abstractive Summarization

ICLR 2018 Romain PaulusCaiming XiongRichard Socher

Attentional, RNN-based encoder-decoder models for abstractive summarization have achieved good performance on short input and output sequences. For longer documents and summaries however these models often include repetitive and incoherent phrases... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Document Summarization CNN / Daily Mail ML + RL (Paulus et al., 2017) ROUGE-1 39.87 # 7
ROUGE-2 15.82 # 10
ROUGE-L 36.90 # 7
Document Summarization CNN / Daily Mail ML + Intra-Attention (Paulus et al., 2017) ROUGE-1 38.30 # 11
ROUGE-2 14.81 # 12
ROUGE-L 35.49 # 11