ҚысқартуӨнімділігі

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Extractive Summarization Using Supervised and Semi-Supervised Learning

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

It is difficult to identify sentence impor- tance from a single point of view. In this paper, we propose a learning-based ap- proach to combine various sentence fea- tures. They …...

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BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThe success of neural summarization models stems from the meticulous encodings of source articles. To overcome the impediments of limited and sometimes noisy training data, one promising direction is to …...

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