# Diachronic Data Analysis Supports and Refines Conceptual Metaphor Theory

arXiv: https://arxiv.org/abs/2209.12234 · HTML: https://mlsanity.com/paper/2209.12234/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 55 references that are in the map.
- First posted on arXiv 25 Sep 2022.

## Builds on (most cited first, 5 of 5)

- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Distributed Representations of Sentences and Documents](https://mlsanity.com/paper/1405.4053/) (2014)
- [Experience Grounds Language](https://mlsanity.com/paper/2004.10151/) (2020)
- [Language (Re)modelling: Towards Embodied Language Understanding](https://mlsanity.com/paper/2005.00311/) (2020)
- [Forman-Ricci Curvature for Hypergraphs](https://mlsanity.com/paper/1811.07825/) (2018)

## Built on by (most cited first, 1 of 1)

- [Time-Varying Data as Sheaves: an Invitation to Narratives](https://mlsanity.com/paper/2609.09056/) (2026)

## Abstract (arXiv)

As a contribution to metaphor analysis, we introduce a statistical, data-based investigation with empirical analysis of long-standing conjectures and a first-ever empirical exploration of the systematic features of metaphors. Conversely, this also makes metaphor theory available as a basis of meaning emergence that can be quantitatively explored and integrated into the framework of NLP.