This paper describes a new technique for obtaining measures of semantic relatedness. Like other recent approaches, it uses Wikipedia to provide structured world knowledge about the terms of interest. Out approach is unique in that it does so using the hyperlink structure of Wikipedia rather than its category hierarchy or textual content. Evaluation with manually defined measures of semantic relatedness reveals this to be an effective compromise between the ease of computation of the former approach and the accuracy of the latter
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
relatedness between terms using the links found within their corresponding Wikipedia articles. Unlik...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
Abstract—Semantic relatedness measures are used in many applications in natural language processing ...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
relatedness between terms using the links found within their corresponding Wikipedia articles. Unlik...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
Abstract—Semantic relatedness measures are used in many applications in natural language processing ...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
Wikipedia provides a semantic network for computing semantic relatedness in a more structured fashio...
Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...