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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
2015
Highly Cited
2015
In this paper we consider a version of the zero-shot learning problem where seen class source and target domain data are provided… 
Highly Cited
2013
Highly Cited
2013
We describe three semantic text similarity systems developed for the *SEM 2013 STS shared task and the results of the… 
Highly Cited
2009
Highly Cited
2009
In this paper, we explore unsupervised techniques for the task of automatic short answer grading. We compare a number of… 
Highly Cited
2009
Highly Cited
2009
Learning a measure of similarity between pairs of objects is an important generic problem in machine learning. It is particularly… 
Highly Cited
2008
Highly Cited
2008
We present a method for measuring the semantic similarity of texts using a corpus-based measure of semantic word similarity and a… 
Highly Cited
2005
Highly Cited
2005
This paper presents a knowledge-based method for measuring the semantic-similarity of texts. While there is a large body of… 
Highly Cited
2005
Highly Cited
2005
Semantic Similarity relates to computing the similarity between concepts which are not lexicographically similar. We investigate… 
Highly Cited
2004
Highly Cited
2004
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses… 
Highly Cited
2003
Highly Cited
2003
Semantic similarity measures play an important role in information retrieval and information integration. Traditional approaches… 
Highly Cited
2003
Highly Cited
2003
Semantic similarity between words is becoming a generic problem for many applications of computational linguistics and artificial…