Hashing based Answer Selection
Table 5: Comparison with BERT-based models.
['Model', 'insuranceQA P@1 (Test1)', 'insuranceQA P@1 (Test2)', 'yahooQA P@1', 'yahooQA MRR', 'wikiQA MAP', 'wikiQA MRR']
S4SS3SSS0Px4 Comparison with BERT-based Models We compare HAS with BERT-pooling and BERT-attention on three datasets. Furthermore, we can find that HAS can achieve comparable accuracy as BERT-attention. But BERT-attention has either speed (time cost) problem or memory cost problem, which will be shown in the following subsection.