---
title: "Who cites You Shall Know a Construction by the Company it…"
description: "3 papers of the Elamur Research library cite «You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings»…"
canonical: "https://research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/cited-by/"
---
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# Who cites «You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings»

3 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/)

1. [**Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/)
2. [**A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora**Paul Van Eecke, Katrien Beuls*2026*](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/)
3. [**Metric Grammars: A usage-based grammatical formalism that supports generation, parsing and morphological innovation**Whitney Tabor, Hyosun Lee*2026*](https://md.research.elamur.ai/free/en/papers/tabor-2026-metric-grammars-usage-based-grammatical/)
- [← back to](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/) — You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings
