Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
Table 2: Model performance on the HotpotQA dataset (top scores marked in bold). Models [1-5] are from (Shen et al.,2017a; Tran et al., 2018; Wang and Jiang, 2016; Bian et al.,2017; Yoon et al., 2019), respectively.
['[BOLD] Model', 'dev MAP', 'dev MRR', 'train MAP', 'train MRR']
Because the dataset only provides training (trainset) and validation (devset) subsets, we report the model performances on these datasets. While training the model, we implement early termination based on the devset performance and measure the best performance. sCARNN In addition to the main proposed model, PS-rnn-elmo, we also report the model performance with a small version of ELMo, PS-rnn-elmo-s.