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Domain adaptation for large neural language models (NLMs) is coupled with massive amounts of unstructured data in the pretraining phase.
The use of mmr, diversity-based reranking for reordering documents and producing summaries
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Transformers: State-of-the-art natural language processing
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PEGASUS: Pre-training with extracted gap-sentences for abstractive summarization
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