Abstractive and mixed summarization for long-single documents

3 Jul 2020Roger BarrullJugal Kalita

The lack of diversity in the datasets available for automatic summarization of documents has meant that the vast majority of neural models for automatic summarization have been trained with news articles. These datasets are relatively small, with an average size of about 600 words, and the models trained with such data sets see their performance limited to short documents... (read more)

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