Word sense disambiguation improves information retrieval software

Download citation does word sense disambiguation improve information retrieval. Lexical ambiguity, syntactic or semantic, is one of the very first problem that any nlp system faces. Noun sense disambiguation with wordnet for software design. Home conferences acl proceedings acl 12 word sense disambiguation improves information retrieval. Word sense disambiguation in information retrieval. Word sense disambiguation and information retrieval. 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. 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. 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.

The belief is that if ambiguous words can be correctly disambiguated, ir. Previous research has conflicting conclusions on whether word sense disambiguation wsd systems can improve information retrieval ir performance. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Word sense disambiguation improves information retrieval.

For a software designer it can be helpful in two ways. The solution to this problem impacts other computerrelated writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, and inference. Its application lies in many different areas including sentiment analysis, information retrieval ir, machine translation and knowledge graph construction. Does word sense disambiguation improve information retrieval. Word sense disambiguation and information retrieval springerlink. In this paper, we propose a method to estimate sense distributions for short queries. Proceedings of the 50th annual meeting of the association for computational linguistics volume 1. In computational linguistics, wordsense disambiguation wsd is an open problem concerned with identifying which sense of a word is used in a sentence. Pdf noun sense disambiguation with wordnet for software. Word sense disambiguation wsd has been a basic and ongoing issue since its introduction in natural language processing nlp community. A context window is set to control the size of context.