Title :
An ontology clarification tool for word sense disambiguation
Author :
Kulkarni, Manasi ; Sane, Suneeta
Author_Institution :
Comput. Eng. Dept., V.J.T.I., Mumbai, India
Abstract :
This paper presents a method for word sense disambiguation based on Lesk algorithm which uses lexical database WordNet as knowledge base. The word sense disambiguation is the process of automatically clarifying a meaning of a word in its context. In general, ontology means the meaning or analogous term. It can be interpreted by relating the word with other words in the sentence. This tool accepts English statement as input and gives best possible meaning of given word. Method is experimented with senseval-2 test data for lexical sample task. The results show the betterment over the original Lesk algorithm.
Keywords :
natural language processing; ontologies (artificial intelligence); English statement; Lesk algorithm; WordNet lexical database; ontology clarification tool; word sense disambiguation; Context; Databases; Java; Natural language processing; Ontologies; Semantics; Speech; Word Sense Disambiguation; context window; lexical sample task; ontology; polysemy; semantic relatedness; semantic similarity; synset; target term;
Conference_Titel :
Electronics Computer Technology (ICECT), 2011 3rd International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4244-8678-6
Electronic_ISBN :
978-1-4244-8679-3
DOI :
10.1109/ICECTECH.2011.5941608
