---
title: "Who cites CxGBERT: BERT meets Construction Grammar"
description: "43 papers of the Elamur Research library cite «CxGBERT: BERT meets Construction Grammar», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/madabushi-2020-cxgbert-bert-meets-construction-grammar/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CxGBERT: BERT meets Construction Grammar](https://md.research.elamur.ai/free/en/papers/madabushi-2020-cxgbert-bert-meets-construction-grammar/) / cited by

# Who cites «CxGBERT: BERT meets Construction Grammar»

43 papers of our library cite it (of the 140,884 whose bibliographies we read) · 10 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/madabushi-2020-cxgbert-bert-meets-construction-grammar/)

1. [**Construction Grammar Provides Unique Insight into Neural Language Models**Leonie Weissweiler, Taiqi He, Naoki Otani, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/)
2. [**A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models**Claire Bonial, Harish Tayyar Madabushi*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/bonial-2024-construction-grammar-corpus-varying-schematicity/)
3. [**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/)
4. [**Learned Construction Grammars Converge Across Registers Given Increased Exposure**Jonathan Dunn, Harish Tayyar Madabushi*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2021-learned-construction-grammars-converge-across/)
5. [**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/)
6. [**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/)
7. [**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/)
8. [**Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/)
9. [**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/)
10. [**Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies**Rémy Marro*2026*](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/)

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

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