Word sense disambiguation (WSD) is the task of identifying the intended sense of a word in context. While prior work on unsupervised WSD has leveraged lexical knowledge bases …
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 …
Disambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were …
Y Zhou, J Du, Z Xue, A Li, Z Guan - CAAI International Conference on …, 2022 - Springer
Word embedding is a fundamental natural language processing task which can learn feature of words. However, most word embedding methods assign only one vector to a word …
A historical dictionary is a language dictionary which studies the evolution of the construction of words and their meanings through the chronological stages the language …
S Ahmadi - arXiv preprint arXiv:2209.02465, 2022 - arxiv.org
The focus of this thesis is broadly on the alignment of lexicographical data, particularly dictionaries. In order to tackle some of the challenges in this field, two main tasks of word …
The issue of word sense ambiguity poses a significant challenge in natural language processing due to the scarcity of annotated data to feed machine learning models to face the …
IR Olsen, BS Pedersen, A Sayeed - Proceedings of the 2020 …, 2020 - aclanthology.org
Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity …
Digital text collections are increasingly important, as they enable researchers to explore new ways of interacting with texts through the use of technology. Various tools have been …