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Retrieved on: 2024-04-16 18:03:23
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Summary
The article discusses the challenges of abstractive dialogue summarization in Natural Language Processing and introduces DS-SS, a novel seq2seq framework designed to handle dialogues' unique structure and improve summary quality by enhancing factual consistency and informativeness.
Article found on: journals.plos.org
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