Contextualized Sparse Representations forReal-Time Open-Domain Question Answering
Table 3: Results on the SQuAD development set. LSTM+SA+ELMo is a query-agnostic baseline from Seo et al. (2018).
['[EMPTY]', '[BOLD] Model', 'EM', 'F1']
While BERT-Large that jointly encodes a passage and a question still has a higher performance than ours, we have closed the gap to 6.1 F1 score in a query-agnostic setting.