# Aligning Packed Dependency Trees: a theory of composition for distributional semantics

arXiv: https://arxiv.org/abs/1608.07115 · HTML: https://mlsanity.com/paper/1608.07115/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Aug 2016.

## Built on by (most cited first, 3 of 3)

- [Representing Syntax and Composition with Geometric Transformations](https://mlsanity.com/paper/2106.01904/) (2021)
- [Montague semantics and modifier consistency measurement in neural language models](https://mlsanity.com/paper/2212.04310/) (2022)
- [Contextualized word senses: from attention to compositionality](https://mlsanity.com/paper/2312.00680/) (2023)

## Abstract (arXiv)

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.