Word sense ambiguity is serious problem in many systems that deal with natural language texts. The systems like Information Retrieval (IR) and Information Extraction (IE) return the segment of the information relevant to the user's information need expressed by a query. Due to polysemy and synonymy, these systems return a portion of non- relevant information, and some times even important information is missed from retrieval. This paper presents a novel approach using Wordnet, which is improvement over the existing methods, and at the same time simple and more efficient. The results have been shown using illustrative examples.
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