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Mar, 2017
阅读理解中词嵌入的比较研究
A Comparative Study of Word Embeddings for Reading Comprehension
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Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen
TL;DR
本研究针对阅读理解任务过往的机器学习研究，发现所使用的预训练词向量和测试时的未登录词处理方法等看似微小的选择，比起架构选择对最终性能的影响更大。我们对这些选择进行系统探讨，为从事该领域研究的学者提供建议。
Abstract
The focus of past
machine learning
research for
reading comprehension
tasks has been primarily on the design of novel
deep learning architectures
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