Could this be next for corpus linguistics? Methods of semi-automatic data annotation with contextualized word embeddings
Lauren Fonteyn,
Enrique Manjavacas,
Nina Haket
et al.
Abstract:This paper explores how linguistic data annotation can be made (semi-)automatic by means of machine learning. More specifically, we focus on the use of “contextualized word embeddings” (i.e. vectorized representations of the meaning of word tokens based on the sentential context in which they appear) extracted by large language models (LLMs). In three example case studies, we assess how the contextualized embeddings generated by LLMs can be combined with different machine learning approaches to serve as a flex… Show more
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