About Me
Nyree Yali
Hi, I'm a former Naturopath-turned-unschooling-parent to a toddler & a tween living in the beautiful South of Tasmania. I'm now helping others on their own journey to wellness & abundance through connecting with their community. I look forward to getting to know you better!Read more...
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Our contributions may be summarized as observe (1) We propose a novel Cluster-to-Cluster generation framework for data augmentation of slot filling,
which can treatment the duplication downside of current one-by-one era strategies.
To scale back duplication and encourage diversity, we suggest a cluster decoder with the Duplication-conscious Attention (DAA) mechanisms.
To be taught the ability of producing diverse and new expressions, we assemble cluster-to-cluster paraphrasing pairs from
unique training knowledge with the Dispersed Cluster Pairing algorithm, which simulates the
data augmentation process of generating novel expressions from present expressions for a particular semantic body.
To study to generate diverse new utterances, we train the C2C mannequin with cluster-to-cluster ‘paraphrasing’ pairs extracted from current training information, and
suggest a Dispersed Cluster Pairing algorithm to assemble these
pairs. Custer2Cluster (C2C) mannequin is a era mannequin that lies on the core of our C2C-GenDA framework and goals to reconstruct input utterances into different expressions while maintaining
semantic. In this paper, we propose a novel Cluster-to-Cluster Generation framework for Data Augmentation of slot filling, named C2C-GenDA.
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