| Autor: |
CANJIA LI, ANDREW YATES, SEAN MACAVANEY, BEN HE, YINGFEI SUN |
| Zdroj: |
ACM Transactions on Information Systems; Mar2024, Vol. 42 Issue 2, p1-26, 26p |
| Abstrakt: |
The article introduces PARADE (Passage Representation Aggregation for Document Reranking), focusing on improving document ranking using pre-trained transformer models like BERT and T5. It addresses the limitations of existing models, which process document passages individually due to sequence length constraints. It explores techniques for aggregating relevance signals from document passages, showcasing significant improvements over prior score aggregation methods. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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