From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search

Maksimov, N. V.; Golitsyna, O. L.

doi:10.3103/s0005105522030074

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…Unlike traditional keyword-only searches, this approach not only considers the keywords but also their meaning within the search context. The system operates based on interactive iterative processes and incorporates the chaotic set of discovered facts for a more comprehensive analysis ( Maksimov and Golitsyna, 2022 ). These progressive developments exemplify the ongoing advancements in applying machine learning techniques to various facets of the legal domain.…”

Section: Progress Of Cognitive Methods Applied To Judicial Modelmentioning

confidence: 99%

The application of cognitive neuroscience to judicial models: recent progress and trends

Zhang,

Zhang

2023

Front. Neurosci.

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Legal prediction presents one of the most significant challenges when applying artificial intelligence (AI) to the legal field. The legal system is a complex adaptive system characterized by the ambiguity of legal language and the diversity of value functions. The imprecision and procedural knowledge inherent in law makes judicial issues difficult to be expressed in a computer symbol system. Current semantic processing and machine learning technologies cannot fully capture the complex nature of legal relations, thereby raising doubts about the accuracy of legal predictions and reliability of judicial models. Cognitive computing, designed to emulate human brain functions and aid in enhancing decision-making processes, offers a better understanding of legal data and the processes of legal reasoning. This paper discusses the advancements made in cognitive methods applied to legal concept learning, semantic extraction, judicial data processing, legal reasoning, understanding of judicial bias, and the interpretability of judicial models. The integration of cognitive neuroscience with law has facilitated several constructive attempts, indicating that the evolution of cognitive law could be the next frontier in the intersection of AI and legal practice.

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Section: Progress Of Cognitive Methods Applied To Judicial Modelmentioning

confidence: 99%

The application of cognitive neuroscience to judicial models: recent progress and trends

Zhang,

Zhang

2023

Front. Neurosci.

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“…Semantic network theory offers a dependable and structured approach to describe and convey an individual's mental representation of factual information (declarative knowledge) (Maksimov & Golitsyna, 2022).…”

Section: Introductionmentioning

confidence: 99%

Semantics Application Networking for EFL learners' Communicative Language Learning

Buhari

2023

JEET

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This study compares and contrasts the speaking activities that are regularly assigned to students in the classroom and explores how both teachers and students view the program's overall worth. The research uses experimental design as its methodology. Students who were enrolled in the first semester of the academic year 2021–2022 made up the study's population. The purposive sampling strategy was used by the current researcher. The researcher participated in two courses with a combined total of 80 students as samples for this study. The outcomes of this study are anticipated to provide important data and make a substantial addition to linguistic research, particularly in the field of language instruction. This study's sole objective was to use Semantics Networking Techniques to improve the students' oral English skills. The findings of this study highlight the significance of communicative language, language learning approaches, and semantic networking strategies in fostering students' development in various fields.

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Natural and Artificial Intelligence: An Activity-Based Approach

Maksimov,

Klimov

2024

Studies in Computational Intelligence

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From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search

Cited by 7 publications

References 15 publications

The application of cognitive neuroscience to judicial models: recent progress and trends

The application of cognitive neuroscience to judicial models: recent progress and trends

Semantics Application Networking for EFL learners' Communicative Language Learning

Natural and Artificial Intelligence: An Activity-Based Approach

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