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This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

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A list of all pages that have property "Has description" with value "The goal of the SEMantic simILARity software toolkit (SEMILAR; pronounced the same way as the word 'similar') is to promote productive, fair, and rigorous research advancements in the area of semantic similarity. The kit is available as application software or as Java API. As of March 2014, the GUI-based SEMILAR application is only available to a limited number of users who commit to help improving the usability of the interface. The JAVA libray (API) however, can be downloaded. SEMILAR comes with various similarity methods based on Wordnet, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), BLEU, Meteor, Pointwise Mutual Information (PMI), Dependency based methods, optimized methods based on Quadratic Assignment, etc. And the similarity methods work in different granularities - word to word, sentence to sentence, or bigger texts. Some methods have their own variations which coupled with parameter settings and your selection of preprocessing steps could result in a huge space of possible instances of the same basic method.". Since there have been only a few results, also nearby values are displayed.

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    • Semilar  + (The goal of the SEMantic simILARity softwa … The goal of the SEMantic simILARity software toolkit (SEMILAR; pronounced the same way as the word 'similar') is to promote productive, fair, and rigorous research advancements in the area of semantic similarity. The kit is available as application software or as Java API.</br></br>As of March 2014, the GUI-based SEMILAR application is only available to a limited number of users who commit to help improving the usability of the interface. The JAVA libray (API) however, can be downloaded.</br></br>SEMILAR comes with various similarity methods based on Wordnet, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), BLEU, Meteor, Pointwise Mutual Information (PMI), Dependency based methods, optimized methods based on Quadratic Assignment, etc. And the similarity methods work in different granularities - word to word, sentence to sentence, or bigger texts. Some methods have their own variations which coupled with parameter settings and your selection of preprocessing steps could result in a huge space of possible instances of the same basic method.ssible instances of the same basic method.)
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