A Survey of Text Similarity Approaches
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Cites background from "A Survey of Text Similarity Approac..."
...Research on metrics and similarity measures (Gomaa and Fahmy, 2013), on distributed synchronization (Attiya et al., 2016), and on natural language processing (Volkart et al., 2018) has made significant progress in recent years....
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...Research on metrics and similarity measures (Gomaa and Fahmy, 2013), on distributed synchronization (Attiya et al....
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1 citations
1 citations
1 citations
Cites background from "A Survey of Text Similarity Approac..."
...The Clinical Decision Support Systems (CDSS) is known as using relevant clinical knowledge and patient information in the diagnosis process to provide support for decision-making and thus improve the level of medical treatment....
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Additional excerpts
...Nesse caso, foram utilizadas as distâncias euclidiana, Levenshtein [209] e Dynamic Time Warping (DTW) [210]....
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References
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"A Survey of Text Similarity Approac..." refers background in this paper
...Dice’s coefficient is defined as twice the number of common terms in the compared strings divided by the total number of terms in both strings [11]....
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10,262 citations
"A Survey of Text Similarity Approac..." refers background in this paper
...It is useful for dissimilar sequences that are suspected to contain regions of similarity or similar sequence motifs within their larger sequence context [8]....
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6,014 citations
"A Survey of Text Similarity Approac..." refers methods in this paper
...The GLSA approach can combine any kind of similarity measure on the space of terms with any suitable method of dimensionality reduction....
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...LSA assumes that words that are close in meaning will occur in similar pieces of text....
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...Latent Semantic Analysis (LSA) [15] is the most popular technique of Corpus-Based similarity....
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...Generalized Latent Semantic Analysis (GLSA) [16] is a framework for computing semantically motivated term and document vectors....
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...Mining the web for synonyms: PMIIR versus LSA on TOEFL....
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