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Data Augmentation for Multiclass Utterance Classification – A Systematic Study

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Publication: TIPSTER (2020)

DOI: nan

AbstractUtterance classification is a key component in many conversational systems. However, classifying real-world user utterances is challenging, as people may express their ideas and thoughts in manifold ways, and the …...

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Empirical Studies of Institutional Federated Learning For Natural Language Processing

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFederated learning has sparkled new interests in the deep learning society to make use of isolated data sources from independent institutes. With the development of novel training tools, we have …...

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Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation

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Publication: TIPSTER (2022)

DOI: nan

AbstractIt’s difficult to optimize individual label performance of multi-label text classification, especially in those imbalanced data containing long-tailed labels. Therefore, this study proposes a response-based knowledge distillation mechanism comprising a …...

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