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EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering

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Figure

Figure 1: The EviNets neural network architecture for combining evidence in factoid question answering.
Table 2: Description of TREC QA, WikiMoviesand Yahoo! Answers factoid QA datasets.
Table 4: Accuracy of EviNets and baseline mod-els on the WikiMovies dataset. The results marked* are obtained using a different setup, i.e., theyuse pre-processed entity window memories, andthe whole set of entities as candidates.
Table 5: Precision, Recall and F1 of differentmethods on Yahoo! Answers factoid QA dataset.The Oracle assumes candidate answers are rankedperfectly and its performance is limited by the ini-tial retrieval step.

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