Argument structure construction

Part of language Late Modern English (1800-now)
Meaning of the construction The central senses of argument structure construction have been argued to be in association with humanly relevant scenes like: transferring something to someone, causing something to change state or move, experiencing something, something undergoing a change of state or location
comment The main data includes 2000 sentences that are generated by GPT-4, which is a text file. The extension data includes a representation of these data in LLM and brain, Representation in LLMs are matrixes including hidden layer activity and attention factor. The representation in the brain includes EEG recordings from 10 participants while listening to 200 of these sentences. Both are matrixes in the format of NumPy arrays but can be converted to any supporting format. This is a similar publicly available dataset: https://github.com/SPOClab-ca/neural-reality-constructions

Construction elements

Links

inherited by Ditransitive construction Late Modern English (1800-now)
inherited by Resultative construction Late Modern English (1800-now)
inherited by Transitive construction Late Modern English (1800-now)
inherited by Caused-Motion construction Late Modern English (1800-now)

Research

Research Question Finding
Representation and processing of constructions in the brain So far we have results from LLM analysis that can significantly recognize and differentiate between argument structure constructions.

Metadata

Date Created 2025-02-14
Annotator Pegah Ramezani
References Goldberg, Adele E. 1995. Constructions: A Construction Grammar Approach to Argument Structure. University of Chicago Press.
References Ramezani, Pegah, Achim Schilling & Patrick Krauss. 2025. Analysis of argument structure constructions in a deep recurrent language model. Frontiers in Computational Neuroscience. Frontiers 19. https://doi.org/10.3389/fncom.2025.1474860.
References Ramezani, Pegah, Achim Schilling & Patrick Krauss. 2025. Analysis of argument structure constructions in the large language model BERT. Frontiers in Artificial Intelligence 8. 1477246. https://doi.org/10.3389/frai.2025.1477246.
References Ramezani, Pegah, Thomas Kinfe, Andreas Maier, Achim Schilling & Patrick Krauss. 2026. Convergent representations of linguistic constructions in human and artificial neural systems. Frontiers in Language Sciences. Frontiers 5. https://doi.org/10.3389/flang.2026.1846406.

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