The objective of few-shot named entity recognition is to identify named
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Zero-shot cross-domain slot filling aims to transfer knowledge from the
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Few-shot named entity recognition (NER) aims at identifying named entiti...
In real dialogue scenarios, the existing slot filling model, which tends...
Most existing slot filling models tend to memorize inherent patterns of
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Multi-domain text classification can automatically classify texts in var...
Zero-shot cross-domain slot filling alleviates the data dependence in th...
Several regularization methods have recently been introduced which force...
In label-noise learning, the transition matrix plays a key role in build...