Abstract
Word Sense Disambiguation (WSD) is the process of determining the exact sense of a particular word in accordance to the context in a computational manner. Such task plays an essential role in multiple fields of study such as Information Retrieval and Information Extraction. With the complexity of human language, WSD came up to solve the problem behind the ambiguity between senses in which a single word would yield different meaning. In this vein, determining the exact meaning of the certain word would facilitate the process of identifying the category of such text, accurate corresponding search results and providing an accurately summarized portion. Several approaches have been proposed for the WSD including statistical, semantic and machine learning techniques. This paper aims to provide a review of such approaches by tackling and categorizing the related works in accordance to the main types.
| Original language | English |
|---|---|
| Pages (from-to) | 428-434 |
| Number of pages | 7 |
| Journal | International Journal of Engineering and Technology(UAE) |
| Volume | 7 |
| Issue number | 3.20 Special Issue 20 |
| Publication status | Published - 1 Jan 2018 |
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Keywords
- Machine learning techniques
- Natural language processing
- Semantic similarity measurement-heuristic
- Word sense disambiguation
ASJC Scopus subject areas
- Biotechnology
- Computer Science (miscellaneous)
- Environmental Engineering
- Chemical Engineering(all)
- Engineering(all)
- Hardware and Architecture
Cite this
Metaheuristic for word sense disambiguation : A review. / Al-Saiagh, Wafaa; Tiun, Sabrina; Al-Saffar, Ahmed; Awang, Suryanti; Al-khaleefa, A. S.
In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.20 Special Issue 20, 01.01.2018, p. 428-434.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Metaheuristic for word sense disambiguation
T2 - A review
AU - Al-Saiagh, Wafaa
AU - Tiun, Sabrina
AU - Al-Saffar, Ahmed
AU - Awang, Suryanti
AU - Al-khaleefa, A. S.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Word Sense Disambiguation (WSD) is the process of determining the exact sense of a particular word in accordance to the context in a computational manner. Such task plays an essential role in multiple fields of study such as Information Retrieval and Information Extraction. With the complexity of human language, WSD came up to solve the problem behind the ambiguity between senses in which a single word would yield different meaning. In this vein, determining the exact meaning of the certain word would facilitate the process of identifying the category of such text, accurate corresponding search results and providing an accurately summarized portion. Several approaches have been proposed for the WSD including statistical, semantic and machine learning techniques. This paper aims to provide a review of such approaches by tackling and categorizing the related works in accordance to the main types.
AB - Word Sense Disambiguation (WSD) is the process of determining the exact sense of a particular word in accordance to the context in a computational manner. Such task plays an essential role in multiple fields of study such as Information Retrieval and Information Extraction. With the complexity of human language, WSD came up to solve the problem behind the ambiguity between senses in which a single word would yield different meaning. In this vein, determining the exact meaning of the certain word would facilitate the process of identifying the category of such text, accurate corresponding search results and providing an accurately summarized portion. Several approaches have been proposed for the WSD including statistical, semantic and machine learning techniques. This paper aims to provide a review of such approaches by tackling and categorizing the related works in accordance to the main types.
KW - Machine learning techniques
KW - Natural language processing
KW - Semantic similarity measurement-heuristic
KW - Word sense disambiguation
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UR - http://www.scopus.com/inward/citedby.url?scp=85063181878&partnerID=8YFLogxK
M3 - Review article
VL - 7
SP - 428
EP - 434
JO - International Journal of Engineering and Technology(UAE)
JF - International Journal of Engineering and Technology(UAE)
SN - 2227-524X
IS - 3.20 Special Issue 20
ER -