AI RESEARCH
A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora
arXiv CS.CL
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ArXi:2603.12754v1 Announce Type: new We present a method for learning large-scale, broad-coverage construction grammars from corpora of language use. Starting from utterances annotated with constituency structure and semantic frames, the method facilitates the learning of human-interpretable computational construction grammars that capture the intricate relationship between syntactic structures and the semantic relations they express. The resulting grammars consist of networks of tens of thousands of constructions formalised within the Fluid Construction Grammar framework.