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Sep, 2018
基于常识预训练的问答系统改进
Improving Question Answering by Commonsense-Based Pre-Training
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Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang...
TL;DR
本文提供一种有效的方法,通过使用外部的常识知识库,例如ConceptNet,来预训练直接和间接的概念相关函数,并将其添加到现有的神经网络模型中,以提高基于常识推理的三个问答任务的基础结果。结果表明,我们的系统能够发现和利用外部常识知识库中有用的证据,这对于导出正确答案很有帮助。
Abstract
Although
neural network
approaches achieve remarkable success on a variety of NLP tasks, many of them struggle to answer questions that require
commonsense knowledge
. We believe the main reason is the lack of com
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