Open BrambleXu opened 1 year ago
Summary:
few-shot和zero-shot RE对模型的要求不一样,本研究提出的triplet-paraphrase meta-training方法,是为了消除二者之间的gap。triplet-paraphrase meta-training指的是,利用triplet-paraphrase去对zero-shot label matching做预训练,然后用meta-learning去学习few-shot的归纳能力。
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Summary:
few-shot和zero-shot RE对模型的要求不一样,本研究提出的triplet-paraphrase meta-training方法,是为了消除二者之间的gap。triplet-paraphrase meta-training指的是,利用triplet-paraphrase去对zero-shot label matching做预训练,然后用meta-learning去学习few-shot的归纳能力。
Resource:
Paper information:
Notes:
Model Graph:
Result::
Thoughts:
Next Reading: