Papers by ShengLi Yan

1 papers
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model (P19-1)

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Challenge: Existing models for article comment generation are too long and often result in general and irrelevant comments.
Approach: They propose to generate comments with a graph-to-sequence model that models the input news as a topic interaction graph.
Outcome: The proposed model can generate coherent and informative comments compared with several strong baseline models.

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