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Semantic similarity

Known as: Semantic relatedness, Google distance, Similarity 
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However… 
Highly Cited
2015
Highly Cited
2015
This paper offers an analysis of a robustly attested semantic change in which progressive markers “spontaneously” emerge in… 
Highly Cited
2011
Highly Cited
2011
Many tasks in music information retrieval, such as recommendation, and playlist generation for online radio, fall naturally into… 
Highly Cited
2009
Highly Cited
2009
This paper explores the problem of similarity criteria between nonrigid shapes. Broadly speaking, such criteria are divided into… 
Highly Cited
2006
Highly Cited
2006
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on… 
Highly Cited
2006
Highly Cited
2006
Semantic Similarity relates to computing the similarity between concepts (terms) which are not necessarily lexically similar. We… 
Highly Cited
2004
Highly Cited
2004
The paper reports from the project ‘From Parallel Corpus to Wordnet’ at the University of Bergen (2001–2004), which explores a… 
Highly Cited
2003
Highly Cited
2003
In order to speedup retrieval in large collections of data, index structures partition the data into subsets so that query… 
Highly Cited
1994
Highly Cited
1994
Three different approaches for assessing the impact of a permanent increase in water level on wetland vegetation were studied…