A practical and linguistically-motivated approach to compositional distributional semantics

• DOI: 10.3115/v1/p14-1009
• Publication Date: 2015-06-17T03:05:16Z
• Authors: Denis Paperno; Nghia The Pham; Marco Baroni
• Keywords: Distributional semantics; Principle of compositionality

Distributional semantic methods to approximate word meaning with context vectors have been very successful empirically, and the last years seen a surge of interest in their compositional extension phrases sentences. We present here new model that, like those Coecke et al. (2010) Baroni Zamparelli (2010), closely mimics standard Montagovian treatment composition distributional terms. However, our approach avoids number issues that prevented application earlier linguistically-motivated models full-fledged, real-life test on variety empirical tasks, showing it consistently outperforms set competitive rivals. 1 Compositional semantics The research two decades has established empirically for words obtained from corpus statistics can be used