CLCTMay 11, 2020

Towards logical negation for compositional distributional semantics

arXiv:2005.04929v116 citations
AI Analysis

This addresses a key limitation in compositional distributional semantics for natural language processing, but it is incremental as it provides initial steps rather than a full solution.

The paper tackled the lack of a logical negation operator in the categorical compositional distributional model of meaning by modeling negation as projection onto an orthogonal subspace, and demonstrated its performance in a sentence entailment task.

The categorical compositional distributional model of meaning gives the composition of words into phrases and sentences pride of place. However, it has so far lacked a model of logical negation. This paper gives some steps towards providing this operator, modelling it as a version of projection onto the subspace orthogonal to a word. We give a small demonstration of the operators performance in a sentence entailment task.

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