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Found 2 papers, 2 papers with code
EDU-level Extractive Summarization with Varying Summary Lengths
To fill these gaps, this paper first conducts the comparison analysis of oracle summaries based on EDUs and sentences, which provides evidence from both theoretical and experimental perspectives to justify and quantify that EDUs make summaries with higher automatic evaluation scores than sentences.
UPANets: Learning from the Universal Pixel Attention Networks
Recently, from the successful development of multi-head attention in natural language processing, it is sure that now is a time of either using a Transformer-like model or hybrid CNNs with attention.
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