Open-Domain Question Answering Task Enhanced by Multiple Documents Refinement and Fusion

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Open-Domain Question Answering Task Enhanced by Multiple Documents Refinement and Fusion

更新时间：2024-09-25

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- Open-Domain Question Answering Task Enhanced by Multiple Documents Refinement and Fusion
- “在自然语言处理领域，研究者提出了RFMD方法，通过多文档精排与融合，有效提升了开放域问答的准确性。”
- Software Guide Vol. 23, Issue 9, Pages: 82-89(2024)
- 作者机构：
  
  国家电网有限公司大数据中心，北京 100053
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231986
  CLC： TP301.6
- Published：16 September 2024，
  
  Received：19 September 2023，
- 稿件说明：
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李博,朱天佑,刘俊健等.通过多文档精排与融合的开放域问答任务增强实现[J].软件导刊,2024,23(09):82-89.

LI Bo,ZHU Tianyou,LIU Junjian,et al.Open-Domain Question Answering Task Enhanced by Multiple Documents Refinement and Fusion[J].Software Guide,2024,23(09):82-89.
李博,朱天佑,刘俊健等.通过多文档精排与融合的开放域问答任务增强实现[J].软件导刊,2024,23(09):82-89. DOI： 10.11907/rjdk.231986.

LI Bo,ZHU Tianyou,LIU Junjian,et al.Open-Domain Question Answering Task Enhanced by Multiple Documents Refinement and Fusion[J].Software Guide,2024,23(09):82-89. DOI： 10.11907/rjdk.231986.

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