most citedImproving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2017★ 5 cited

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization

Shuming Ma, Xu Sun, Jingjing Xu +3

Current Chinese social media text summarization models are based on an encoder-decoder framework. Although its generated summaries are similar to source texts literally, they have…