3.6k citations · 10k across the 28 of their papers we have counts for
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Resolving Lexical Ambiguity in Tensor Regression Models of Meaning
Dimitri Kartsaklis, Nal Kalchbrenner, Mehrnoosh Sadrzadeh
This paper provides a method for improving tensor-based compositional distributional models of meaning by the addition of an explicit disambiguation step prior to composition. In c…
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
Misha Denil, Alban Demiraj, Nal Kalchbrenner +2
Capturing the compositional process which maps the meaning of words to that of documents is a central challenge for researchers in Natural Language Processing and Information Retri…
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)…