A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces

Gabriella Chronis, Kyle Mahowald, Katrin Erk
5/29/2023
cs.CL

No official code found. Best implementation: gchronis/features_in_context (5 stars, last commit 2024-11-07).

Abstract

We study semantic construal in grammatical constructions using large language models. First, we project contextual word embeddings into three interpretable semantic spaces, each defined by a different set of psycholinguistic feature norms. We validate these interpretable spaces and then use them to automatically derive semantic characterizations of lexical items in two grammatical constructions: nouns in subject or object position within the same sentence, and the AANN construction (e.g., `a beautiful three days'). We show that a word in subject position is interpreted as more agentive than the very same word in object position, and that the nouns in the AANN construction are interpreted as more measurement-like than when in the canonical alternation. Our method can probe the distributional meaning of syntactic constructions at a templatic level, abstracted away from specific lexemes.

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Predict psycholoinguistic feature norms for words in context.

52Python, Jupyter NotebookNov 24, 20211 years agoNOASSERTION

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Cite this paper

@article{chronis2023method,
  title  = {A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces},
  author = {Gabriella Chronis and Kyle Mahowald and Katrin Erk},
  year   = {2023},
  eprint = {2305.18598},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.18598v1}
}

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