Task Knowledge in Abstractive Summarization
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چکیده
This paper discusses the path towards asbtractive summarization and proposes a new knowledge-based methodology called KBABS as a step forward on this path. We propose to use both world knowledge, to identify useful content, and task knowledge, to filter out unreliable content, to generate more accurate summaries. This approach was implemented for guided summarization. The evaluation shows that, used in combination with a state-of-the-art system, our K-BABS system significantly improves content coverage in the summaries.
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ABSUM: a Knowledge-Based Abstractive Summarizer
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