Detection of Non-recorded Word Senses in English and Swedish
Jonathan Lautenschlager Emma Sköldberg Simon Hengchen Dominik Schlechtweg
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 to
adapt and evaluate our models. 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.