Word sense disambiguation and information retrieval. Pdf noun sense disambiguation with wordnet for software. The solution to this problem impacts other computerrelated writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference. A basic form of semantic annotation is to label a word in a document with its correct sense based on the context. It has often been thought that word sense ambiguity is a cause of poor performance in information retrieval ir systems. Download citation does word sense disambiguation improve information retrieval. Word sense disambiguation improves information retrieval. For a software designer it can be helpful in two ways. A context window is set to control the size of context. Citeseerx document details isaac councill, lee giles, pradeep teregowda. But, the problem of word sense disambiguation is an obstacle to the development of computational systems that can fully understand natural language. Word sense disambiguation wsd has been a basic and ongoing issue since its introduction in natural language processing nlp community. Does word sense disambiguation improve information retrieval. Word sense disambiguation in information retrieval.
Lexical ambiguity, syntactic or semantic, is one of the very first problem that any nlp system faces. The belief is that if ambiguous words can be correctly disambiguated, ir. In this paper, we propose a method to estimate sense distributions for short queries. Word sense ambiguity is recognized as having a detrimental effect on the precision of information retrieval systems in general and web search systems in particular, due. Its application lies in many different areas including sentiment analysis, information retrieval ir, machine translation and knowledge graph construction. Word sense disambiguation and information retrieval springerlink. Proceedings of the 50th annual meeting of the association for computational linguistics volume 1. Home conferences acl proceedings acl 12 word sense disambiguation improves information retrieval. Noun sense disambiguation with wordnet for software design. Previous research has conflicting conclusions on whether word sense disambiguation wsd systems can improve information retrieval ir performance. Word sense disambiguation, in natural language processing nlp, may be defined as the ability to determine which meaning of word is activated by the use of word in a particular context. In computational linguistics, wordsense disambiguation wsd is an open problem concerned with identifying which sense of a word is used in a sentence.