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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 3 4 5...10 Hits 1 – 20 of 197 1 Combining text and vision in compound semantics: Towards a cognitively plausible multimodal model ... Gupta, ABHIJEET. - : Data Archiving and Networked Services (DANS), 2021 BASE Show details 2 ОНТОЛОГИИ ПОИСКА В ПОЛНОТЕКСТОВОЙ БАЗЕ ДАННЫХ «МУЗЫКОЗНАНИЕ» ... : FULL-TEXT SEARCH ONTOLOGIES DATABASE “MUSICOLOGY” ... Бажанов Николай Сергеевич. - : Вестник музыкальной науки, 2021 BASE Show details 3 THE ASSESSMENT OF THE EXAMINEE’S COMPETENCES ON THE BASIS OF THE LOGICAL-LINGUISTIC MODEL ... : ОЦЕНИВАНИЕ КОМПЕТЕНЦИЙ ТЕСТИРУЕМОГО НА ОСНОВЕ ЛОГИКО-ЛИНГВИСТИЧЕСКОЙ МОДЕЛИ ... Domshenko, N.G.; Morozova, M.N.; Rubtsova, S.Y.. - : Международный научно-исследовательский журнал, 2019 BASE Show details 4 АЛГОРИТМ ПРЕДСТАВЛЕНИЯ СВОЙСТВ ОБЪЕКТОВ ЭКСПЕРТНОЙ СИСТЕМЫ ... : ALGORITHM FOR PRESENTING PROPERTIES OF EXPERT SYSTEM OBJECTS ... Гаджиев, Ф.Г.; Гулузаде, Ф.И.. - : Международный научно-исследовательский журнал, 2019 BASE Show details 5 A Fuzzy Model of Risk Assessment for Environmental Start-up Projects in the Air Transport Sector Polishchuk; Kelemen; Gavurová... In: International Journal of Environmental Research and Public Health ; Volume 16 ; Issue 19 (2019) BASE Show details 6 Word Embeddings for Wine Recommender Systems Using Vocabularies of Experts and Consumers Cruz, Christophe; Nguyen Van, Cyril; Gautier, Laurent In: ISSN: 2199-188X ; Open Journal of Web Technologies ; https://halshs.archives-ouvertes.fr/halshs-01872273 ; Open Journal of Web Technologies, RonPub, 2018, Special Issue: Proceedings of the International Workshop on Web Data Processing & Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence, 5 (1), pp.23-30 ; https://www.ronpub.com/ojwt/OJWT_2018v5i1n04_Cruz.html (2018) BASE Show details 7 Probabilistic models of relational implication Ricketts Holt, Xavier. - : Sydney, Australia : Macquarie University, 2018 BASE Show details 8 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez-Gil, Jorge. - : figshare, 2018 BASE Show details 9 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2018 BASE Show details 10 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez, Jorge. - : figshare, 2018 BASE Show details 11 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez, Jorge. - : figshare, 2018 BASE Show details 12 Semantic Similarity Measurement Using Historical Google Search Patterns ... Martinez, Jorge. - : figshare, 2018 BASE Show details 13 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... Martinez-Gil, Jorge. - : figshare, 2018 BASE Show details 14 Semantic Similarity Measurement Using Historical Google Search Patterns ... Martinez, Jorge. - : figshare, 2018 Abstract: Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is an important challenge in the information integration field. The problem is that techniques for textual semantic similarity measurement often fail to deal with words not covered by synonym dictionaries. In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine. To do this, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns. These algorithmic methods are: a) frequent co-occurrence of terms in search patterns, b) computation of the relationship between search patterns, c) outlier coincidence on search patterns, and d) forecasting comparisons. We have shown experimentally that some of these methods correlate well with respect to human judgment ... Keyword: 80105 Expert Systems; 80107 Natural Language Processing; 80108 Neural, Evolutionary and Fuzzy Computation; 80604 Database Management; FOS Computer and information sciences; Information Systems URL: https://figshare.com/articles/Semantic_Similarity_Measurement_Using_Historical_Google_Search_Patterns/7122386/1 https://dx.doi.org/10.6084/m9.figshare.7122386.v1 BASE Hide details 15 An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ... J. M. Gil. - : figshare, 2018 BASE Show details 16 Semantic Similarity Measurement Using Historical Google Search Patterns ... Gil, Jorge Martinez. - : figshare, 2018 BASE Show details 17 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez, Jorge. - : figshare, 2018 BASE Show details 18 Semantic Similarity Measurement Using Historical Google Search Patterns ... Gil, Jorge Martinez. - : figshare, 2018 BASE Show details 19 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Hagenberg, Jorge. - : figshare, 2018 BASE Show details 20 CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ... Martinez-Gil, Jorge. - : figshare, 2018 BASE Show details Page: 1 2 3 4 5...10

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