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Computational Linguistics

Paola Merlo, Editor
December 2016, Vol. 42, No. 4, Pages 727-761
(doi: 10.1162/COLI_a_00265)
© 2017 Association for Computational Linguistics
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
Article PDF (542.71 KB)
Abstract

We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the composition of distributional knowledge in a way that captures both mutual disambiguation and generalization.