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

2013/06/10 by Karl Moritz Hermann, Edward Grefenstette, Hermann, Karl Moritz +3
Computer Science · #68T50 #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #acm:68T50 #cs.CL #msc:68T50

paper · pdf · doi:10.48550/arxiv.1306.2158

9 pages, to appear in Proceedings of the 2013 Workshop on Continuous Vector Space Models and their Compositionality

arxiv created 2013/06/10 · openalex publication_date 2013/06/10 · arxiv updated 2013/06/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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 capturing. In this paper, we address shortcomings in the ability of current models to capture logical operations such as negation. As a solution we propose a tripartite formulation for a continuous vector space representation of semantics and subsequently use this representation to develop a formal compositional notion of negation within such models.

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