Papers by Yunfeng Zhang
D2S: Document-to-Slide Generation Via Query-Based Text Summarization (2021.naacl-main)
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| Challenge: | Existing research efforts to automate the document-to-slide generation process face a critical challenge: no publicly available dataset for training and benchmarking. |
| Approach: | They propose a dataset SciDuet that gathers papers and their corresponding slides from recent years’ NLP and ML conferences. |
| Outcome: | The proposed system outperforms state-of-the-art summarization baselines on both automated ROUGE metrics and qualitative human evaluation. |
Rank-Aware Negative Training for Semi-Supervised Text Classification (2023.tacl-1)
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| Challenge: | Semi-supervised text classification-based paradigms employ the spirit of self-training, but the accuracy of pseudo-labels can be a problem in real-world scenarios. |
| Approach: | They propose a Rank-aware Negative Training framework to address SSTC in noisy label learning . they rank unlabeled texts based on evidential support from the labeled texts. |
| Outcome: | The proposed framework overcomes state-of-the-art alternatives and achieves competitive performance in other scenarios. |