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Apr, 2016
一种集成方法生成高质量的词向量嵌入（2016）
An Ensemble Method to Produce High-Quality Word Embeddings
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Robert Speer, Joshua Chin
TL;DR
本文提出了一种集成方法，通过将GloVe和word2vec的嵌入方式与语义网络ConceptNet和PPDB的结构化知识相结合，将它们的信息融合成一个具有大型多语言词汇的共同表示，并达到了许多词语相似性评估的最先进性能
Abstract
A currently successful approach to
computational semantics
is to represent words as
embeddings
in a machine-learned vector space. We present an ensemble method that combines
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