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Found 3 papers, 1 papers with code
Sentence-level Planning for Especially Abstractive Summarization
Abstractive summarization models heavily rely on copy mechanisms, such as the pointer network or attention, to achieve good performance, measured by textual overlap with reference summaries.
Explaining Away Syntactic Structure in Semantic Document Representations
Our model builds on the variational autoencoder framework to define a generative document model based on next-word prediction.
Discovering Valuable Items from Massive Data
Given a budget on the cumulative cost of the selected items, how can we pick a subset of maximal value?
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