A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/9795520/SemanticSimilarityWebIntelligence.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is a key challenge in many computer related fields. The problem is that traditional approaches to semantic similarity measurement are not suitable for all situations, for example, many of them often fail to deal with terms not covered by synonym dictionaries or are not able to cope with acronyms, abbreviations, buzzwords, brand names, proper nouns,<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.5624875.v1">doi:10.6084/m9.figshare.5624875.v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cmz6qja4bffhpgsqr3rjkjpkxu">fatcat:cmz6qja4bffhpgsqr3rjkjpkxu</a> </span>
more »... d so on. In this paper, we present and evaluate a collection of emerging techniques developed to avoid this problem. These techniques use some kinds of web intelligence to determine the degree of similarity between text expressions. These techniques implement a variety of paradigms including the study of co-occurrence, text snippet comparison, frequent pattern finding, or search log analysis. The goal is to substitute the traditional techniques where necessary.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213162649/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/9795520/SemanticSimilarityWebIntelligence.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a9/83/a98323057f341ae4ef7111cde5753265c6b38add.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.6084/m9.figshare.5624875.v1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> figshare.com </button> </a>