activity
20102026
most citedTeaching Machines to Read and Comprehend

2.7k citations · 5.7k across the 63 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

cs.CL2013★ 30 cited

Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics

Edward Grefenstette

This thesis is about the problem of compositionality in distributional semantics. Distributional semantics presupposes that the meanings of words are a function of their occurrence…

cs.CL2013★ 21 cited

"Not not bad" is not "bad": A distributional account of negation

Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom

With the increasing empirical success of distributional models of compositional semantics, it is timely to consider the types of textual logic that such models are capable of captu…

cs.CL2013★ 19 cited

A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure

Stephen Clark, Bob Coecke, Edward Grefenstette +2

We discuss an algorithm which produces the meaning of a sentence given meanings of its words, and its resemblance to quantum teleportation. In fact, this protocol was the main sour…

math.LO2013★ 58 cited

Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors

Edward Grefenstette

The development of compositional distributional models of semantics reconciling the empirical aspects of distributional semantics with the compositional aspects of formal semantics…

math.LO2013★ 78 cited

Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus

Bob Coecke, Edward Grefenstette, Mehrnoosh Sadrzadeh

The Distributional Compositional Categorical (DisCoCat) model is a mathematical framework that provides compositional semantics for meanings of natural language sentences. It consi…

cs.CL2013★ 57 cited

Multi-Step Regression Learning for Compositional Distributional Semantics

Edward Grefenstette, Georgiana Dinu, Yao-Zhong Zhang +2

We present a model for compositional distributional semantics related to the framework of Coecke et al. (2010), and emulating formal semantics by representing functions as tensors…