Results 21 to 30 of about 112,653 (237)
Вестник Тамбовского университета. Серия: Гуманитарные науки, 2023 Importance. Within the framework of the competence approach, the higher school faces the task of training specialists with non-standard, versioned, multivariate thinking, called divergent.
O. N. Kochukova
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Modelling the past. Logics, semantics and applications of neural computing in archaeology
Archeologia e Calcolatori, 2020 The study of complex archaeological systems through the new Artificial Intelligence and Natural and Neural Computing is a research project which evaluates the historical meaning of the relationships between records of the past as an essentially human construction.
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Meaning-focused and Quantum-inspired Information Retrieval [PDF]
, 2013 In recent years, quantum-based methods have promisingly integrated the traditional procedures in information retrieval (IR) and natural language processing (NLP).
AY Khrennikov +24 more
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Recursive Neural Networks Can Learn Logical Semantics [PDF]
, 2015 Tree-structured recursive neural networks (TreeRNNs) for sentence meaning have been successful for many applications, but it remains an open question whether the fixed-length representations that they learn can support tasks as demanding as logical ...
Bowman, Samuel R. +2 more
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Knowledge Graph Completion Based on Logical Rules and Graph Neural Network [PDF]
Jisuanji gongchengKnowledge Graph Completion(KGC) aims to utilize the existing knowledge in a Knowledge Graph(KG) to derive new facts. This process is pivotal in several tasks and domains and has garnered increasing attention from researchers.
LIU Chunyu, CHEN Qingfeng, MO Shaocong, XIE Ze
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Information system support in construction industry with semantic web technologies and/or autonomous reasoning agents [PDF]
, 2012 Information technology support is hard to find for the early design phases of the architectural design process. Many of the existing issues in such design decision support tools appear to be caused by a mismatch between the ways in which designers think ...
From +7 more
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Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring
Frontiers in Robotics and AI, 2020 Robotic agents should be able to learn from sub-symbolic sensor data and, at the same time, be able to reason about objects and communicate with humans on a symbolic level.
Pedro Zuidberg Dos Martires +5 more
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A Type-coherent, Expressive Representation as an Initial Step to Language Understanding
, 2019 A growing interest in tasks involving language understanding by the NLP community has led to the need for effective semantic parsing and inference. Modern NLP systems use semantic representations that do not quite fulfill the nuanced needs for language ...
Kim, Gene Louis, Schubert, Lenhart
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Business Level Service-Oriented Enterprise Application Integration [PDF]
, 2007 In this paper we propose a new approach for service-oriented enterprise application integration (EAI). Unlike current EAI solutions, which mainly focus on technological aspects, our approach allows business domain experts to get more involved in the ...
Pokraev, Stanislav +4 more
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Development of models and methods for constructing multidimensional didactic instruments
Авіаційно-космічна техніка та технологіяThe subject of the study in this article is the synthesis of multifactorial, predominantly eight-factor graphical logical-semantic models for knowledge representation with an open architecture for knowledge bases.
Serhiy Dotsenko +3 more
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