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Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning
Jianpeng Cheng, Dimitri Kartsaklis, Edward Grefenstette
This paper aims to explore the effect of prior disambiguation on neural network- based compositional models, with the hope that better semantic representations for text compounds c…
A Deep Architecture for Semantic Parsing
Edward Grefenstette, Phil Blunsom, Nando de Freitas +1
Many successful approaches to semantic parsing build on top of the syntactic analysis of text, and make use of distributional representations or statistical models to match parses…
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN)…