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When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors
Semantic Vectors PMI Values
2016/7/7
Distributional semantic models, deriving vector-based word representations from patterns of
word usage in corpora, have many useful applications (Turney and Pantel 2010). Recently, there
has been in...
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and important for a wide...