Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering

25 Jul 2017Yi TayLuu Anh TuanSiu Cheung Hui

The dominant neural architectures in question answer retrieval are based on recurrent or convolutional encoders configured with complex word matching layers. Given that recent architectural innovations are mostly new word interaction layers or attention-based matching mechanisms, it seems to be a well-established fact that these components are mandatory for good performance... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Question Answering SemEvalCQA HyperQA [email protected] 0.809 # 1
MAP 0.795 # 1
Question Answering TrecQA HyperQA MAP 0.770 # 4
MRR 0.825 # 3
Question Answering WikiQA HyperQA MAP 0.712 # 4
MRR 0.727 # 4
Question Answering YahooCQA CNN [email protected] 0.413 # 6
MRR 0.632 # 7
Question Answering YahooCQA HyperQA [email protected] 0.683 # 2
MRR 0.801 # 3
Question Answering YahooCQA LSTM [email protected] 0.465 # 5
MRR 0.669 # 6