Hashing based Answer Selection
Table 2: Results on insuranceQA. The results of models marked with ⋆ are reported from Tran and Niederée (2018). Other results marked with ⋄ are reported from their original paper. P@1 is adopted as evaluation metric as previous works. ‘our impl.’ denotes our implementation.
['Model', 'P@1\xa0(Test1)', 'P@1\xa0(Test2)']
S4SS3SSS0Px1 Results on insuranceQA We compare HAS with baselines on insuranceQA dataset. MULT Wang and Jiang Here, KAN adopts external knowledge for performance improvement. KAN (Tgt-Only) denotes the KAN variant without external knowledge. We can find that HAS outperforms all the baselines, which proves the effectiveness of HAS.