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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 37 of 37 21 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2018 BASE Show details 22 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez-Gil, Jorge. - : figshare, 2018 BASE Show details 23 Semantic Similarity Measurement Using Historical Google Search Patterns ... Gil, Jorge Martinez. - : figshare, 2018 BASE Show details 24 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2018 BASE Show details 25 Semantic Similarity Measurement Using Historical Google Search Patterns ... Gil, Jorge Martinez. - : figshare, 2018 BASE Show details 26 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Hagenberg, Jorge. - : figshare, 2018 BASE Show details 27 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Hagenberg, Jorge. - : figshare, 2018 BASE Show details 28 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez, Jorge. - : figshare, 2017 BASE Show details 29 Aspect-based opinion mining framework using heuristic patterns ... Zubair Asghar; Ahmad, Shakeel; Rabail Zahra. - : figshare, 2017 BASE Show details 30 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2017 BASE Show details 31 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez, Jorge. - : figshare, 2017 Abstract: 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, and 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. ... Keyword: 80105 Expert Systems; 80107 Natural Language Processing; 80199 Artificial Intelligence and Image Processing not elsewhere classified; 80704 Information Retrieval and Web Search; FOS Computer and information sciences; FOS Media and communications URL: https://dx.doi.org/10.6084/m9.figshare.5624875 https://figshare.com/articles/journal_contribution/An_Overview_of_Textual_Semantic_Similarity_Measures_Based_on_Web_Intelligence/5624875/1 BASE Hide details 32 Semantic Similarity Measurement Using Historical Google Search Patterns ... Martinez, Jorge. - : figshare, 2017 BASE Show details 33 Aspect-based opinion mining framework using heuristic patterns ... Zubair Asghar; Ahmad, Shakeel; Rabail Zahra. - : figshare, 2017 BASE Show details 34 Semantic Similarity Measurement Using Historical Google Search Patterns ... Martinez, Jorge. - : figshare, 2017 BASE Show details 35 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2017 BASE Show details 36 How Relevant is the Long Tail? - A Relevance Assessment Study on Million Short (Best Poster Award CLEF 2016) ... Schaer, Philipp; Mayr, Philipp; Sünkler, Sebastian. - : figshare, 2016 BASE Show details 37 How Relevant is the Long Tail? - A Relevance Assessment Study on Million Short (Best Poster Award CLEF 2016) ... Schaer, Philipp; Mayr, Philipp; Sünkler, Sebastian. - : figshare, 2016 BASE Show details Page: 1 2

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