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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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Figure

Figure 1: Our model takes a question-answer pair as an input and encodes them using separate RNNsdenoted as fqRNNand faRNN
Table 3 reports the answer reranking P@1 andMRR of the described models along with the re-sults of the baseline systems
Figure 3: Average P@1 of the GRU-MLP-Sim-Discourse versus the Random baseline on the testquestions from most common YA categories.

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