6 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CL2017★ 6 cited
Semantic Composition via Probabilistic Model Theory
Guy Emerson, Ann Copestake
Semantic composition remains an open problem for vector space models of semantics. In this paper, we explain how the probabilistic graphical model used in the framework of Function…
cs.CL2017★ 1 cited
Variational Inference for Logical Inference
Guy Emerson, Ann Copestake
Functional Distributional Semantics is a framework that aims to learn, from text, semantic representations which can be interpreted in terms of truth. Here we make two contribution…
cs.CL2016
Functional Distributional Semantics
Guy Emerson, Ann Copestake
Vector space models have become popular in distributional semantics, despite the challenges they face in capturing various semantic phenomena. We propose a novel probabilistic fram…