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Jiachen Tian

2 accepted papers

2023

Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack

AAAI 2023technical

Pre-trained language models (PLMs) have recently enabled rapid progress on sentiment classification under the pre-train and fine-tune paradigm, where the fine-tuning phase aims to transfer the factual knowledge learned by PLMs to sentiment classification. However, current fine-tuning methods ignore…

Cited by 4SourcePDFScholar
2021

Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification

EMNLP 2021main

Difficult samples of the minority class in imbalanced text classification are usually hard to be classified as they are embedded into an overlapping semantic region with the majority class. In this paper, we propose a Mutual Information constrained Semantically Oversampling framework (MISO) that can…

Cited by 15SourcePDFScholar