With state-of-the-art systems having finally attained estimated human performance, Word
Sense Disambiguation (WSD) has now joined the array of Natural Language Processing …

Abstract Recent approaches to Word Sense Disambiguation (WSD) have profited from the
enhanced contextualized word representations coming from contemporary Large Language …

A fundamental characteristic of natural language is the high rate at which speakers produce
novel expressions. Because of this novelty, a heavy-tail of rare events accounts for a …

Public security vulnerability reports (eg, CVE reports) play an important role in the
maintenance of computer and network systems. Security companies and administrators rely …

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 …

Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based
on its context. WSD is widely used in text classification, machine translation and information …

Word sense disambiguation (WSD) is one of key problems in field of natural language
processing. Ambiguous word often has different meanings in different contexts. WSD is the …

Word sense disambiguation is a basic task in Natural Language Processing which aims to
identify the most appropriate sense of ambiguous words in different contexts by applying …

Humans often make creative use of words to express novel senses. A long-standing effort in
natural language processing has been focusing on word sense disambiguation (WSD), but …

Supervised disambiguation using a large amount of corpus data delivers better performance
than other word sense disambiguation methods. However, it is not easy to construct large …