Hashing based Answer Selection
Table 4: Results on wikiQA. The results marked with ⋄ are reported from their original paper. MAP and MRR are adopted as evaluation metrics as previous works.
['Model', 'P@1', 'MRR']
S4SS3SSS0Px2 Results on yahooQA We also evaluate HAS and baselines on yahooQA. KAN Deng et al. HAS outperforms all baselines except KAN. The performance gain of KAN mainly owes to the external knowledge, by pre-training on a source QA dataset SQuAD-T. Please note that HAS does not adopt external QA dataset for pre-training. HAS can outperform the target-only version of KAN, denoted as KAN (Tgt-Only), which is only trained on yahooQA without SQuAD-T. Once again, the result on yahooQA verifies the effectiveness of HAS.