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Jun, 2016
神经网络单词嵌入的不确定性:相似度阈值探索
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity
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Navid Rekabsaz, Mihai Lupu, Allan Hanbury
TL;DR
本论文探讨了单词嵌入模型中相似度得分的实际指示性和有用性,通过引入阈值过滤高度相关的单词,实验证明该方法在信息检索方面具有显著优势。
Abstract
word embedding
, specially with its recent developments, promises a quantification of the
similarity
between terms. However, it is not clear to which extent this
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