Papers by Chunbin Gu
Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings (2024.findings-naacl)
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| Challenge: | Existing approaches to matching text with non-comparable lengths are limited due to truncation issues. |
| Approach: | They propose a model that decouples sentences and embeds them into natural sentences for matching texts of significantly different lengths. |
| Outcome: | The proposed model matches texts of significantly different lengths across three well-studied datasets. |