Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
Table 3: Results on the TriviaQA-Wikipedia test set: Joshi et al. (2017)1, Hu et al. (2018)2, Wang et al. (2018b)3, Chen et al. (2017)4, Clark and Gardner (2018)5, Back et al. (2018)6, Weissenborn et al. (2017)7, and Yan et al. (2019)8. † indicates unpublished works.
['Model', 'Full EM', 'Full F1', 'Verified EM', 'Verified F1']
As we can see, our best model achieves 71.0 EM and 75.2 F1, firmly outperforming previous methods. Besides, Joshi et al. However, the score of 80.3 EM on the verified set implies that there is still room for improvement.