Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis

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Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis
Authors
Evgeniy Gabrilovich
Shaul Markovitch
Publication date
2007
Links
Original Preprint

Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis - scientific work related to Wikipedia quality published in 2007, written by Evgeniy Gabrilovich and Shaul Markovitch.

Overview

Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. Authors propose Explicit Semantic Analysis (ESA), a novel method that represents the meaning of texts in a high-dimensional space of concepts derived from Wikipedia. Authors use machine learning techniques to explicitly represent the meaning of any text as a weighted vector of Wikipedia-based concepts. Assessing the relatedness of texts in this space amounts to comparing the corresponding vectors using conventional metrics (e.g., cosine). Compared with the previous state of the art, using ESA results in substantial improvements in correlation of computed relatedness scores with human judgments: from r = 0.56 to 0.75 for individual words and from r = 0.60 to 0.72 for texts. Importantly, due to the use of natural concepts, the ESA model is easy to explain to human users.

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Wikipedia Quality

Gabrilovich, Evgeniy; Markovitch, Shaul. (2007). "[[Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis]]". Morgan Kaufmann Publishers Inc..

English Wikipedia

{{cite journal |last1=Gabrilovich |first1=Evgeniy |last2=Markovitch |first2=Shaul |title=Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis |date=2007 |url=https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_Using_Wikipedia-Based_Explicit_Semantic_Analysis |journal=Morgan Kaufmann Publishers Inc.}}

HTML

Gabrilovich, Evgeniy; Markovitch, Shaul. (2007). &quot;<a href="https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_Using_Wikipedia-Based_Explicit_Semantic_Analysis">Computing Semantic Relatedness Using Wikipedia-Based Explicit Semantic Analysis</a>&quot;. Morgan Kaufmann Publishers Inc..