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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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications include machine translation (MT… Expand
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Highly Cited
2007
Highly Cited
2007
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in… Expand
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Highly Cited
2006
Highly Cited
2006
This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of… Expand
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Highly Cited
2006
Highly Cited
2006
Sentence similarity measures play an increasingly important role in text-related research and applications in areas such as text… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
Semantic similarity measures play an important role in information retrieval and information integration. Traditional approaches… Expand
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Highly Cited
2003
Highly Cited
2003
Semantic similarity between words is becoming a generic problem for many applications of computational linguistics and artificial… Expand
Highly Cited
1999
Highly Cited
1999
  • P. Resnik
  • J. Artif. Intell. Res.
  • 1999
  • Corpus ID: 7872315
This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content… Expand
Highly Cited
1997
Highly Cited
1997
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical… Expand
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Highly Cited
1995
Highly Cited
1995
This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content… Expand
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