首页> 外文会议>Workshop on Scholarly Document Processing >Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
【24h】

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

机译:Covidex:Covid-19开放研究数据集的神经排名模型和关键字搜索基础架构

获取原文
获取外文期刊封面目录资料

摘要

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. Our system has been online and serving users since late March 2020. The Covidex is the user application component of our three-pronged strategy to develop technologies for helping domain experts tackle the ongoing global pandemic. In addition, we provide robust and easy-to-use keyword search infrastructure that exploits mature fusion-based methods as well as standalone neural ranking models that can be incorporated into other applications. These techniques have been evaluated in the multi-round TREC-COVID challenge: Our infrastructure and baselines have been adopted by many participants, including some of the best systems. In round 3, we submitted the highest-scoring run that took advantage of previous training data and the second-highest fully automatic run. In rounds 4 and 5, we submitted the highest-scoring fully automatic runs.
机译:我们呈现CoVidex,一种利用最新神经排名模型的搜索引擎,以提供对由Alen Institute为AI策划的Covid-19开放研究数据集的信息。我们的系统自2020年3月下旬以来一直在线和服务用户.CoVidex是我们三管齐下的策略的用户申请组成部分,以开发帮助领域专家解决正在进行的全球大流行的技术。此外,我们提供了强大且易于使用的关键字搜索基础架构,可利用基于成熟的融合的方法以及独立的神经排名模型,可以合并到其他应用中。这些技术已经在多轮TREC-Covid挑战中进行了评估:许多参与者采用了我们的基础设施和基线,包括一些最佳系统。在第3轮中,我们提交了最高评分运行,利用以前的培训数据和第二最高全自动运行。在第4轮和5轮中,我们提交了最高评分全自动运行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号