Papers by Chun-Yi Lin
Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning (2023.findings-emnlp)
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| Challenge: | Existing domain adaptation methods for dense retrieval models use unadapted rerank models, leading to imprecise labels. |
| Approach: | They propose to adapt a rerank model to the target domain before using it for label generation. |
| Outcome: | The proposed model achieves better results across three retrieval datasets. |
Advancing Multi-Criteria Chinese Word Segmentation Through Criterion Classification and Denoising (2023.acl-long)
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| Challenge: | Recent research on multi-criteria Chinese word segmentation focuses on building complex private structures, adding more handcrafted features, or introducing complex optimization processes. |
| Approach: | They propose a model that fits multiple Chinese word segments using input-hint inputs. |
| Outcome: | The proposed model achieves state-of-the-art (SoTA) performance on multiple datasets simultaneously. |