# Generating Semantic Graph Corpora with Graph Expansion Grammar

arXiv: https://arxiv.org/abs/2309.08714 · HTML: https://mlsanity.com/paper/2309.08714/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 23 references that are in the map.
- First posted on arXiv 15 Sep 2023.

## Abstract (arXiv)

We introduce Lovelace, a tool for creating corpora of semantic graphs. The system uses graph expansion grammar as a representational language, thus allowing users to craft a grammar that describes a corpus with desired properties. When given such grammar as input, the system generates a set of output graphs that are well-formed according to the grammar, i.e., a graph bank. The generation process can be controlled via a number of configurable parameters that allow the user to, for example, specify a range of desired output graph sizes. Central use cases are the creation of synthetic data to augment existing corpora, and as a pedagogical tool for teaching formal language theory.
