Seq2Seq generation

method ID: seq2seqgeneration

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Publication: TIPSTER (2022)

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AbstractWe introduce EdgeFormer – a parameter-efficient Transformer for on-device seq2seq generation under the strict computation and memory constraints. Compared with the previous parameter-efficient Transformers, EdgeFormer applies two novel principles for …...

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Few-shot Named Entity Recognition with Self-describing Networks

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AbstractFew-shot NER needs to effectively capture information from limited instances and transfer useful knowledge from external resources. In this paper, we propose a self-describing mechanism for few-shot NER, which can …...

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