Results 1 to 10 of about 601,832 (352)
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling [PDF]
Engineering Applications of Artificial Intelligence, 2017 Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3.0) application. However, the challenge in ontology engineering is automatic learning, i.e., the there is still a lack of ...
Monika Rani, Amit Kumar Dhar, O. P. Vyas
semanticscholar +9 more sources
Helal ve Etik Araştırmalar Dergisi, 2023 Nebiz, ülkemizdeki karşılığı ile “şıra” diye bilinen özellikle yaş veya kuru haldeki hurma veya üzümden, parçalanıp sulandırılarak üretilmiş şekerli ve alkol içermeyen sıvı içecek grubudur.
Adem Elgün
semanticscholar +5 more sources
About the "Mistress" and confessional terminology (to the topic "Dostoevsky and the Old Believers")
Dostoevsky. Materials and Research, 2019 S.S. Bytko
semanticscholar +3 more sources
Query Behavior: The Impact of Health Literacy, Topic Familiarity and Terminology
International Conference on Human Factors in Computing & Informatics, 2013 We conducted a user study to analyze how health literacy, topic familiarity and the terminology used in past queries affect query behavior in health searches. We found that users with inadequate health literacy have less success in web searches and show more difficulties in query formulation.
Carla Teixeira Lopes, Cristina Ribeiro
semanticscholar +5 more sources
Why Terminology Matters for Successful Rollout of Carbon Dioxide Utilization Technologies
Frontiers in Climate, 2022 To realize their full sustainability potential, carbon dioxide utilization technologies (carbon capture and utilization/CCU) presently require policy support.
Barbara Olfe-Kräutlein +5 more
doaj +2 more sources
The Termolator: Terminology Recognition Based on Chunking, Statistical and Search-Based Scores
Frontiers in Research Metrics and Analytics, 2018 The Termolator is an open-source high-performing terminology extraction system, available on Github. The Termolator combines several different approaches to get superior coverage and precision. The in-line term component identifies potential instances of
Adam L. Meyers +7 more
doaj +2 more sources
Terminological variation, a means of identifying research topics from texts [PDF]
Proceedings of the 17th international conference on Computational linguistics -, 1998 After extracting terms from a corpus of titles and abstracts in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of syntactic variations were studied: permutation, expansion and substitution. These syntactic variations yield other relations of formal and conceptual nature.
Fidelia Ibekwe-Sanjuan
+7 more sources
Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling [PDF]
2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017 In this paper, we present hierarchical relationbased latent Dirichlet allocation (hrLDA), a data-driven hierarchical topic model for extracting terminological ontologies from a large number of heterogeneous documents. In contrast to traditional topic models, hrLDA relies on noun phrases instead of unigrams, considers syntax and document structures, and
Xiaofeng Zhu +2 more
openalex +5 more sources
Szempontok a magyar névtani terminológia megítéléséhez [PDF]
Névtani Értesítő, 2012 On some characteristics and problems of Hungarian onomastic terminology Hungarian onomastic literature – inevitably – often refers to or discusses problems relating to the use of technical terms.
Tamás Farkas
doaj +3 more sources