Detection of Non-recorded Word Senses in English and Swedish
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Abstract (arXiv)
This study addresses the task of Unknown Sense Detection in English and Swedish. The primary objective of this task is to determine whether the meaning of a particular word usage is documented in a dictionary or not. For this purpose, sense entries are compared with word usages from modern and historical corpora using a pre-trained Word-in-Context embedder that allows us to model this task in a few-shot scenario. Additionally, we use human annotations on the target corpora to adapt hyperparameters and evaluate our models using 5-fold cross-validation. Compared to a random sample from a corpus, our model is able to considerably increase the detected number of word usages with non-recorded senses.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 11 of its 42 references that are in the map. First posted on arXiv 4 Mar 2024.
Builds on
11 of 42 references.
References · 11
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Citing papers per year: 2024: 3.
3 papers.