Learning Term Weight with Long Short-Term Memory for Question Retrieval

机译：学习术语重量，短期内记忆是问题检索

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摘要

Most of previous methods on question retrieval treat all words as equally important. This paper employs a bidirectional long short-term memory network to predict word salience weight in the question, which is hinted by the word's matching status in the answer. Our method is trained on a large corpus of natural question-answer pairs, and so it requires no human annotation. We conduct experiments on question retrieval in a cQA dataset. The results show that our model outperforms traditional methods by a wide margin.

机译：以前的大多数方法如何检索处理所有单词同样重要。本文采用双向长期内记忆网络，以预测问题中的Word Parience重量，这些重量由答案中的单词匹配状态暗示。我们的方法培训了在一个自然问题答案对的大语料库上，因此它不需要人类注释。我们在CQA DataSet中对问题进行问题进行实验。结果表明，我们的模型优于传统方法宽边缘。

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《Chinese Lexical Semantics Workshop》|2018年|820p|共8页
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Xifeng Huang; Xiang Dai;
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中图分类 TP18-53;
关键词
Question answering; Question retrieval; Word salience weight;

机译：问题回答;问题检索;Word Parience重量;

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2. Inhibition of hippocampal Jun N-terminal kinase enhances short-term memory but blocks long-term memory formation and retrieval of an inhibitory avoidance task. [J] . Bevilaqua LR, Kerr DS, Medina JH, The European Journal of Neuroscience . 2003,第4期

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3. Relationship Between Measures of Working Memory Capacity and the Time Course of Short-Term Memory Retrieval and Interference Resolution [J] . Ilke Oztekin, Brian McElree Journal of experimental psychology. Learning, memory, and cognition . 2010,第2期

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4. Learning Term Weight with Long Short-Term Memory for Question Retrieval [C] . Xifeng Huang, Xiang Dai Chinese lexical semantics workshop . 2018

机译：带有长短期记忆的学习词权重，用于问题检索
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6. Relationship between measures of working memory capacity and the timecourse of short-term memory retrieval and interference resolution [O] . Ilke Öztekin, Brian McElree -1

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Learning Term Weight with Long Short-Term Memory for Question Retrieval

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