Non Factoid Answer Reranking

task ID: nonfactoidanswerreranking

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We present a simple yet powerful approach to non-factoid answer reranking whereby question-answer pairs are represented by con- catenated distributed representation vectors and a multilayer perceptron is used to compute …...

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If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking

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AbstractWe show that a neural approach to the task of non-factoid answer reranking can benefit from the inclusion of tried-and-tested handcrafted features. We present a neural network architecture based on …...

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