Research Cell: An International Journal of Engineering Sciences

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A Review of Literature on Word Sense Disambiguation


Affiliations
1 Punjab Technical University, Kapurthala, India
2 Sachdeva Engg. College for Girls, Gharuan, Mohali, India
3 Dept. of Computer Science, Punjabi University, Patiala, India
 

Artificial intelligence (AI) has been a major research area in the later quarter of 20th century and is likely to be even more so in the 21st century. A key part of AI is Word Sense Disambiguation (WSD) which deals with choosing the correct sense of a word in the given text. All human languages have words with multiple meaning and selecting the intended sense is important. This paper briefly describes various methods presently used for WSD and their relative effectiveness. WSD applications currently find application in Information Retrieval, Information Extraction, Automated Answering Machine, Speech Reorganization, Machine Translation among many others. WSD has promise for the future in taking AI to the next higher level.

Keywords

Natural Language Processing (NLP), Artificial Intelligence (AI), Word Sense Disambiguation (WSD), Knowledge Based Methods, Supervised/Unsupervised Methods.
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  • A Review of Literature on Word Sense Disambiguation

Abstract Views: 150  |  PDF Views: 1

Authors

Rakesh Kumar
Punjab Technical University, Kapurthala, India
Ravinder Khanna
Sachdeva Engg. College for Girls, Gharuan, Mohali, India
Vishal Goyal
Dept. of Computer Science, Punjabi University, Patiala, India

Abstract


Artificial intelligence (AI) has been a major research area in the later quarter of 20th century and is likely to be even more so in the 21st century. A key part of AI is Word Sense Disambiguation (WSD) which deals with choosing the correct sense of a word in the given text. All human languages have words with multiple meaning and selecting the intended sense is important. This paper briefly describes various methods presently used for WSD and their relative effectiveness. WSD applications currently find application in Information Retrieval, Information Extraction, Automated Answering Machine, Speech Reorganization, Machine Translation among many others. WSD has promise for the future in taking AI to the next higher level.

Keywords


Natural Language Processing (NLP), Artificial Intelligence (AI), Word Sense Disambiguation (WSD), Knowledge Based Methods, Supervised/Unsupervised Methods.