New Directions in Vector Space Models of Meaning
Symbolic approaches have dominated NLP as a means to model syntactic and semantic aspects of natural language. While powerful inferential tools exist for such models, they suffer from an inability to capture correlation between words and to provide a continuous model for word, phrase, and document s...
Hlavní autoři: | Grefenstette, E, Hermann, K, Dinu, G, Blunsom, P |
---|---|
Médium: | Journal article |
Vydáno: |
2014
|
Podobné jednotky
-
The Role of Syntax in Vector Space Models of Compositional Semantics
Autor: Hermann, K, a další
Vydáno: (2013) -
"Not not bad" is not "bad": A distributional account of negation
Autor: Hermann, K, a další
Vydáno: (2013) -
A convolutional neural network for modelling sentences
Autor: Kalchbrenner, N, a další
Vydáno: (2014) -
A Convolutional Neural Network for Modelling Sentences
Autor: Kalchbrenner, N, a další
Vydáno: (2014) -
A Deep Architecture for Semantic Parsing
Autor: Grefenstette, E, a další
Vydáno: (2014)