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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 6...31 Hits 21 – 40 of 605 21 Inverse Suffix Array Queries for 2-Dimensional Pattern Matching in Near-Compact Space ... Patel, Dhrumil; Shah, Rahul. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 22 Efficient Algorithms for Counting Gapped Palindromes ... Popa, Andrei; Popa, Alexandru. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 23 Semantic Reasoning of Product Biologically Inspired Design Based on BERT Ze Bian; Shijian Luo; Fei Zheng; Liuyu Wang; Ping Shan In: Applied Sciences; Volume 11; Issue 24; Pages: 12082 (2021) BASE Show details 24 Bidirectional String Anchors: A New String Sampling Mechanism ... Loukides, Grigorios; Pissis, Solon P.. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 25 Lexical-semantic and executive deficits revealed by computational modelling: a drift diffusion model perspective ... Todorova, Lara. - : Open Science Framework, 2021 BASE Show details 26 Manipulations of List Type in the DRM Paradigm: A Review of How Structural and Conceptual Similarity Affect False Memory Coane, Jennifer H.; McBride, Dawn M.; Chang, Kai... In: Faculty Publications (2021) BASE Show details 27 Matching Equation: Teacher Rates of Praise and Reprimands Ackley, Meleah In: Master's Theses (2021) BASE Show details 28 Domain-aware ontology matching Quesada Real, Francisco José. - : The University of Edinburgh, 2021 Abstract: During the last years, technological advances have created new ways of communication, which have motivated governments, companies and institutions to digitalise the data they have in order to make it accessible and transferable to other people. Despite the millions of digital resources that are currently available, their diversity and heterogeneous knowledge representation make complex the process of exchanging information automatically. Nowadays, the way of tackling this heterogeneity is by applying ontology matching techniques with the aim of finding correspondences between the elements represented in different resources. These approaches work well in some cases, but in scenarios when there are resources from many different areas of expertise (e.g. emergency response) or when the knowledge represented is very specialised (e.g. medical domain), their performance drops because matchers cannot find correspondences or find incorrect ones. In our research, we have focused on tackling these problems by allowing matchers to take advantage of domain-knowledge. Firstly, we present an innovative perspective for dealing with domain-knowledge by considering three different dimensions (specificity - degree of specialisation -, linguistic structure - the role of lexicon and grammar -, and type of knowledge resource - regarding generation methodologies). Secondly, domain-resources are classified according to the combination of these three dimensions. Finally, there are proposed several approaches that exploit each dimension of domain-knowledge for enhancing matchers’ performance. The proposals have been evaluated by matching two of the most used classifications of diseases (ICD-10 and DSM-5), and the results show that matchers considerably improve their performance in terms of f-measure. The research detailed in this thesis can be used as a starting point to delve into the area of domain-knowledge matching. For this reason, we have also included several research lines that can be followed in the future to enhance the proposed approaches. Keyword: disease classification; domain-knowledge; DSM-5; generation methodologies; ICD-10; linguistic structure; ontology matching techniques; performance; specificity URL: https://doi.org/10.7488/era/1131 https://hdl.handle.net/1842/37855 BASE Hide details 29 Dowsing for Math Answers: Exploring MathCQA with a Math-aware Search Engine Ng, Yin Ki. - : University of Waterloo, 2021 BASE Show details 30 Do Ethnically-Congruent Teachers Really Matter Little for Hispanic Students? A Re-Examination of the Data Seah, Kelvin. - : Bonn: Institute of Labor Economics (IZA), 2021 BASE Show details 31 Enhanced Matching of Children’s Faces in “Super-Recognisers” But Not High-Contact Controls Bate, S; Bennetts, R; Murray, E. - : Sage, 2020 BASE Show details 32 A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM Sylvestre, Emmanuelle; Bouzille, Guillaume; McDuffie, Michael... In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-02887372 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.18-22. ⟨10.3233/SHTI200114⟩ (2020) BASE Show details 33 DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching ... : Association for Computational Linguistics, 2020 BASE Show details 34 DAWGs for Parameterized Matching: Online Construction and Related Indexing Structures Nakashima, Katsuhito; Fujisato, Noriki; Hendrian, Diptarama. - : LIPIcs - Leibniz International Proceedings in Informatics. 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020), 2020 BASE Show details 35 String Indexing with Compressed Patterns Bille, Philip; Steiner, Teresa Anna. - : LIPIcs - Leibniz International Proceedings in Informatics. 37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020), 2020 BASE Show details 36 Gender Agreement Attraction in Greek Comprehension ... Paspali, Anastasia; Marinis, Theodoros. - : Humboldt-Universität zu Berlin, 2020 BASE Show details 37 Fake News Detection using Machine Learning ... Prasanth. K; Praveen. N. - : Zenodo, 2020 BASE Show details 38 Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ... Sasaki, H.; Yamamoto, S.; Agchbayar, A.. - : Zenodo, 2020 BASE Show details 39 Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model ... Sasaki, H.; Yamamoto, S.; Agchbayar, A.. - : Zenodo, 2020 BASE Show details 40 Fake News Detection using Machine Learning ... Prasanth. K; Praveen. N. - : Zenodo, 2020 BASE Show details Page: 1 2 3 4 5 6...31

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