mlsanityData to 7 Oct 2026

The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap

arXiv 2407.07606 ↗First posted 10 Jul 2024cs.CL cs.AIcited by 1

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Abstract (arXiv)

This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First of all, it aims to synthesise the variety of methodologies that have been proposed to date and the results that have been obtained. Second, it aims to identify those parts of the challenge that have been successfully tackled and reveal those that require further research. Finally, it aims to provide a roadmap which can help to boost and streamline future research efforts on the computational learning of large-scale, usage-based construction grammars.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 85 references that are in the map. First posted on arXiv 10 Jul 2024.

Builds on

12 of 85 references.

References · 12

  1. 2016CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoningcited by 1,445
  2. 2022The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlativecited by 35
  3. 2020CxGBERT: BERT meets Construction Grammarcited by 32
  4. 2023Construction Grammar Provides Unique Insight into Neural Language Modelscited by 13
  5. 2019Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammarcited by 11
  6. 2019Modeling the Complexity and Descriptive Adequacy of Construction Grammarscited by 9
  7. 2021Learned Construction Grammars Converge Across Registers Given Increased Exposurecited by 6
  8. 2022Bottleneck Low-rank Transformers for Low-resource Spoken Language Understandingcited by 6
  9. 2022Exposure and Emergence in Usage-Based Grammar: Computational Experiments in 35 Languagescited by 6
  10. 2023Construction Grammar and Artificial Intelligencecited by 5
  11. 2023Exploring the Constructicon: Linguistic Analysis of a Computational CxGcited by 3
  12. 2023Construction Grammar and Language Modelscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corporacited by 1