DeepAI AI Chat
Log In Sign Up

Conversational Negation using Worldly Context in Compositional Distributional Semantics

05/12/2021
by   Benjamin Rodatz, et al.
0

We propose a framework to model an operational conversational negation by applying worldly context (prior knowledge) to logical negation in compositional distributional semantics. Given a word, our framework can create its negation that is similar to how humans perceive negation. The framework corrects logical negation to weight meanings closer in the entailment hierarchy more than meanings further apart. The proposed framework is flexible to accommodate different choices of logical negations, compositions, and worldly context generation. In particular, we propose and motivate a new logical negation using matrix inverse. We validate the sensibility of our conversational negation framework by performing experiments, leveraging density matrices to encode graded entailment information. We conclude that the combination of subtraction negation and phaser in the basis of the negated word yields the highest Pearson correlation of 0.635 with human ratings.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/11/2020

Towards logical negation for compositional distributional semantics

The categorical compositional distributional model of meaning gives the ...
01/19/2016

Graded Entailment for Compositional Distributional Semantics

The categorical compositional distributional model of natural language p...
12/30/2014

From Logical to Distributional Models

The paper relates two variants of semantic models for natural language, ...
07/10/2012

Challenges for Distributional Compositional Semantics

This paper summarises the current state-of-the art in the study of compo...
08/12/2016

Compositional Distributional Cognition

We accommodate the Integrated Connectionist/Symbolic Architecture (ICS) ...
01/20/2017

Logical Inferences with Contexts of RDF Triples

Logical inference, an integral feature of the Semantic Web, is the proce...
12/19/2019

Gaussianity and typicality in matrix distributional semantics

Constructions in type-driven compositional distributional semantics asso...