LSTM-based Deep Learning Models for Non-factoid Answer Selection

12 Nov 2015Ming TanCicero dos SantosBing XiangBowen Zhou

In this paper, we apply a general deep learning (DL) framework for the answer selection task, which does not depend on manually defined features or linguistic tools. The basic framework is to build the embeddings of questions and answers based on bidirectional long short-term memory (biLSTM) models, and measure their closeness by cosine similarity... (read more)

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