首页>
外国专利>
Affect-enriched vector representation of words for use in machine-learning models
Affect-enriched vector representation of words for use in machine-learning models
展开▼
机译:在机器学习模型中使用的富集的富有传染媒介表示
展开▼
页面导航
摘要
著录项
相似文献
摘要
Certain embodiments involve facilitating natural language processing through enriched distributional word representations. For instance, a computing system receives an initial word distribution having initial word vectors that represent, within a multidimensional vector space, words in a vocabulary. The computing system also receives a human-reaction lexicon indicating human-reaction values respectively associated with words in the vocabulary. The computing system creates an enriched word distribution by modifying one or more of the initial word vectors such that the distance between the pair of initial word vectors representing a pair of words is decreased based on a human-reaction similarity between the pair of words.
展开▼