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When the Whole Is Not Greater Than the Combination of Its Parts: A “Decompositional” Look at Compositional Distributional Semantics
Author(s) -
Fabio Massimo Zanzotto,
Lorenzo Ferrone,
Marco Baroni
Publication year - 2015
Publication title -
computational linguistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.314
H-Index - 98
eISSN - 1530-9312
pISSN - 0891-2017
DOI - 10.1162/coli_a_00215
Subject(s) - similarity (geometry) , semantics (computer science) , computer science , composition (language) , class (philosophy) , convolution (computer science) , natural language processing , affect (linguistics) , distributional semantics , artificial intelligence , semantic similarity , linguistics , programming language , philosophy , artificial neural network , image (mathematics)
Distributional semantics has been extended to phrases and sentences by means of composition operations. We look at how these operations affect similarity measurements, showing that similarity equations of an important class of composition methods can be decomposed into operations performed on the subparts of the input phrases. This establishes a strong link between these models and convolution kernels.

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