A Systematic Analysis of Various Word Sense Disambiguation Approaches
The process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area. Over the decades, so many researchers have proposed the many approaches to WSD. A development of this field...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ediciones Universidad de Salamanca
2024-12-01
|
| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31602 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area. Over the decades, so many researchers have proposed the many approaches to WSD. A development of this field has created the significant impact on several Web-based applications such as information retrieval and information extraction. This paper contains the description of various approaches such as knowledge-based, supervised, unsupervised and semi-supervised. This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics. |
|---|---|
| ISSN: | 2255-2863 |