Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- 摘要
Abstractive Sentence Summarization generates a shorter version of a given sentence while attempting to preserve its meaning.
We introduce a conditional recurrent neural network (RNN) which generates a summary of an input sentence. （我們將介紹一種條件遞歸神經網絡，其用來生成輸入句子的摘要）
The conditioning is provided by a novel convolutional attention-based encoder which ensures that the decoder focuses on the appropriate input words at each step of generation. （使用一種conditional RNN來生成摘要，該條件是卷積注意力模型（convolutional attention-based encoder），用來確保每一步生成詞的時候都可以聚焦到合適的輸入上。）
Our model relies only on learned features and is easy to train in an end-to-end fashion on large data sets. （模型僅僅依賴於學習到的features，並且很容易在大規模數據上進行end2end式訓練）
Our experiments show that the model significantly outperforms the recently proposed state-of-the-art method on the Gigaword corpus while performing competitively on the DUC-2004 shared task.（在Gigaword語料上和DUC-2004任務中取得了更好的效果。）