论文标题
MS MARCO文档上排行榜上的传统IR竞争对手模型
Traditional IR rivals neural models on the MS MARCO Document Ranking Leaderboard
论文作者
论文摘要
该简短文档描述了一个传统的IR系统，该系统在MARCO文档排行榜上获得了MRR@100等于0.298（2020-12-06）。尽管不如大多数基于BERT的模型，但它的表现优于几个神经运行（以及所有非神经跑步），其中包括两个使用了较大的经过预告片的变压器模型进行重新排列的提交。我们提供软件和数据以复制我们的结果。
This short document describes a traditional IR system that achieved MRR@100 equal to 0.298 on the MS MARCO Document Ranking leaderboard (on 2020-12-06). Although inferior to most BERT-based models, it outperformed several neural runs (as well as all non-neural ones), including two submissions that used a large pretrained Transformer model for re-ranking. We provide software and data to reproduce our results.
