---
title: "Who cites Construction Grammar Provides Unique Insight…"
description: "18 papers of the Elamur Research library cite «Construction Grammar Provides Unique Insight into Neural Language Models», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/cited-by/"
---
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# Who cites «Construction Grammar Provides Unique Insight into Neural Language Models»

18 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/)

1. [**Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models**Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/rambelli-2023-are-frequent-phrases-directly-retrieved/)
2. [**You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings**Lara Verheyen, Jonas Doumen, Paul Van Eecke, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/)
3. [**Annotation Scheme for English Argument Structure Constructions Treebank**Hakyung Sung, Kristopher Kyle*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sung-2024-annotation-scheme-english-argument-structure/)
4. [**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/)

14 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/) — Construction Grammar Provides Unique Insight into Neural Language Models