Abstract:To deal with the informal texts in social media where a question text has several questions and the answer text has several answers, we propose a new task named QA pairing, which means to identify the answer sentence(s) for each question. First, we build a novel QA pairing corpus with informal text, which is collected from a product reviewing website. Then, in order to resolve the noises in informal text, we propose a novel QA pairing approach, namely contextual QA pairing method based on attention network. Empirical studied demonstrate the effectiveness of the proposed approach to QA pairing.
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