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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2205.11245 |
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| _version_ | 1866915774499651584 |
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| author | Qiao, Yixuan Zhao, Shanshan Wang, Jun Chen, Hao Liu, Tuozhen Ye, Xianbin Tang, Xin Fang, Rui Gao, Peng Xie, Wenfeng Xie, Guotong |
| author_facet | Qiao, Yixuan Zhao, Shanshan Wang, Jun Chen, Hao Liu, Tuozhen Ye, Xianbin Tang, Xin Fang, Rui Gao, Peng Xie, Wenfeng Xie, Guotong |
| contents | This paper describes the PASH participation in TREC 2021 Deep Learning Track. In the recall stage, we adopt a scheme combining sparse and dense retrieval method. In the multi-stage ranking phase, point-wise and pair-wise ranking strategies are used one after another based on model continual pre-trained on general knowledge and document-level data. Compared to TREC 2020 Deep Learning Track, we have additionally introduced the generative model T5 to further enhance the performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2205_11245 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking Qiao, Yixuan Zhao, Shanshan Wang, Jun Chen, Hao Liu, Tuozhen Ye, Xianbin Tang, Xin Fang, Rui Gao, Peng Xie, Wenfeng Xie, Guotong Information Retrieval Computation and Language This paper describes the PASH participation in TREC 2021 Deep Learning Track. In the recall stage, we adopt a scheme combining sparse and dense retrieval method. In the multi-stage ranking phase, point-wise and pair-wise ranking strategies are used one after another based on model continual pre-trained on general knowledge and document-level data. Compared to TREC 2020 Deep Learning Track, we have additionally introduced the generative model T5 to further enhance the performance. |
| title | PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking |
| topic | Information Retrieval Computation and Language |
| url | https://arxiv.org/abs/2205.11245 |