Products related to Semantic:
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Semantic Role Labeling
This book is aimed at providing an overview of several aspects of semantic role labeling.Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them.Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora.This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques.Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems.Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling.Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance.Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example.Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented.
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A Semantic Web Primer
A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic WebThe development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses.A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies.Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field.Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa.A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications.The chapter on Semantic Web applications reflects the rapid developments of the past few years.A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http://www.semanticwebprimer.org.
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Natural Language Processing : Semantic Aspects
This book introduces the semantic aspects of natural language processing and its applications.Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, the and the nature of language.The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.
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The Semantic Theory of Knowledge
The aim of this book is the analysis of Kazimierz Ajdukiewicz’s meta-epistemological project of the semantic theory of knowledge and its implementations to solve certain traditional epistemological problems and their metaphysical consequences.This project claims that cognitive problems need to be approached from the perspective of language.One of the results of this analysis is the thesis that the philosophical-linguistic legitimisation for the meta-epistemological project is the philosophy of Edmund Husserl from his Logical Investigations.This is the philosophy that makes it possible to speak reasonably of a close relation between thinking and language and provides thereby the legitimisation for this project.
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What is a semantic battle?
A semantic battle is a disagreement or argument that revolves around the meaning of words or phrases. It often occurs when individuals interpret language differently or have conflicting definitions for certain terms. These battles can arise in various contexts, such as debates, discussions, or negotiations, and can sometimes hinder effective communication or resolution of issues. Resolving a semantic battle typically involves clarifying definitions, finding common ground, or agreeing on a shared understanding of the language being used.
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What is the meaning of semantic openness?
Semantic openness refers to the idea that language is constantly evolving and new meanings can be created over time. It suggests that words and phrases are not fixed in their meanings, but can be interpreted in different ways depending on context, culture, and individual perspectives. This concept highlights the dynamic and flexible nature of language, allowing for creativity and innovation in communication.
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Does it make a semantic difference if...
Yes, it makes a semantic difference if the wording or phrasing of a statement is changed. The choice of words can alter the meaning and interpretation of a sentence, leading to different implications and understandings. Even small changes in wording can have a significant impact on the overall message being conveyed. Therefore, it is important to carefully consider the semantics of language when communicating to ensure that the intended meaning is accurately conveyed.
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What is the semantic field for Latin?
The semantic field for Latin includes words related to ancient Rome, the Latin language, Roman culture, history, and literature. It encompasses terms associated with Roman mythology, philosophy, politics, and architecture. Additionally, the semantic field for Latin may also include words related to Latin phrases commonly used in legal, scientific, and academic contexts.
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Foundations of Semantic Communication Networks
Comprehensive overview of the principles, theories, and techniques needed to build end-to-end semantic communication systems, with case studies included.In this rapidly evolving landscape, the integration of connected intelligence applications highlights the pressing need for networks to gain intelligence in a non-siloed and ad hoc manner.The traditional incremental approach to network design is no longer sufficient to support the diverse and dynamic requirements of these emerging applications.This necessitates a paradigm shift towards more intelligent and adaptive network architectures.From theory to application, Foundations of Semantic Communication Networks describes and provides a comprehensive understanding of everything needed to build end-to-end semantic communication systems.This book covers various interdisciplinary topics such as the mathematical foundations of semantic communications, information theoretical perspectives, joint-source channel coding, semantic-aware resource management strategies, interoperability under heterogeneous semantic communication users, advanced artificial intelligence (AI) and machine reasoning techniques for enabling connected intelligent applications, secure and privacy-preserving semantic communication systems, and the coexistence and interoperability of semantic, goal-oriented, and legacy systems.The book examines unique features of end-to-end networking with semantic communications, including instilling reasoning behaviors in communication nodes, the role of the semantic plane in information filtering, control of communication and computing resources, transmit and receive signaling schemes, and connected intelligence device control.It emphasizes the importance of data semantics and age of information metrics.The book also discusses the profound impact of semantic communications on the telecom industry, highlighting changes in network performance, resource management, traffic, as well as spectral and energy efficiency.Furthermore, the book provides insights into the mathematical constructs and AI theories for formulating semantic information, such as topology and category theory.It explores real-world applications, case studies, and future research directions as wireless technologies transition to 6G and beyond.Written by four recognized experts in the field with a wealth of expertise from academia, industry, and research institutions, Foundations of Semantic Communication Networks addresses sample topics, including: Novel Semantic Information Formulations: Proposing new formulations using rigorous mathematical frameworks such as category theory and algebraic topology. Practical Applications and Networking Features: Focusing on real-world scenarios, addressing multiple access and networking challenges through collaborative frameworks for multi-modal transmissions, examining multiple access schemes to enhance transmission efficiency, and ensuring coexistence with legacy systems. AI-Native Air Interface and Semantic-Aware Resource Allocation: Enabling efficient large-scale systems for 6G and beyond wireless systems through AI-native air interfaces and semantic-aware resource allocation strategies. Advanced AI and Machine Reasoning: Utilizing causality and neuro-symbolic artificial intelligence for minimalistic transmissions, and achieving generalizability and transferability across contexts and data distributions to develop high-fidelity semantic communication systems. Multi-Domain Security Vulnerabilities: Examining security vulnerabilities associated with deep neural networks in semantic communications, and proposing encrypted, privacy-preserving semantic communication systems (ESCS) as a solution. Foundations of Semantic Communication Networks is an excellent forward-thinking resource on the subject for readers with a strong background in the subject matter, including graduate-level students, academics, practitioners, and industry researchers.
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Semantic Network Analysis in Social Sciences
Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences.Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available.It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society.The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings.Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.
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Natural Language Ontology and Semantic Theory
This Element gives an introduction to the emerging discipline of natural language ontology.Natural language ontology is an area at the interface of semantics, metaphysics, and philosophy of language that is concerned with which kinds of objects are assumed by our best semantic theories.The Element reviews different strategies for identifying a language's ontological commitments.It observes that, while languages share a large number of their ontological commitments (such as to individuals, properties, events, and kinds), they differ in other commitments (for example, to degrees).The Element closes by relating different language and theory-specific ontologies, and by pointing out the merits and challenges of identifying inter-category relations within a single ontology.
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Natural Language Ontology and Semantic Theory
This Element gives an introduction to the emerging discipline of natural language ontology.Natural language ontology is an area at the interface of semantics, metaphysics, and philosophy of language that is concerned with which kinds of objects are assumed by our best semantic theories.The Element reviews different strategies for identifying a language's ontological commitments.It observes that, while languages share a large number of their ontological commitments (such as to individuals, properties, events, and kinds), they differ in other commitments (for example, to degrees).The Element closes by relating different language and theory-specific ontologies, and by pointing out the merits and challenges of identifying inter-category relations within a single ontology.
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Why is HTML5 referred to as semantic HTML?
HTML5 is referred to as semantic HTML because it introduces new elements that provide more meaning and structure to the content of a webpage. These semantic elements, such as <header>, <footer>, <nav>, <article>, and <section>, help search engines and screen readers better understand the content and context of a webpage. By using semantic HTML, developers can create websites that are more accessible, SEO-friendly, and easier to maintain and update.
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What is the difference between semantic entailment and equivalences?
Semantic entailment refers to the relationship between two statements where the truth of one statement guarantees the truth of another statement. In contrast, semantic equivalence refers to the relationship between two statements that have the same meaning, such that they are interchangeable in any context without changing the truth value of the overall statement. While entailment is a one-way relationship, equivalence is a two-way relationship where both statements imply each other.
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What semantic function does the indicative have in Latin?
The indicative mood in Latin is used to make statements of fact or reality. It is the most common mood in Latin and is used to express actions that are believed to be true or actually happened. The indicative mood is used in both independent and dependent clauses to convey straightforward information without any doubt or uncertainty.
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What is the difference between syntactic and semantic figures?
Syntactic figures refer to the arrangement and structure of words or phrases within a sentence, while semantic figures refer to the meaning and interpretation of those words or phrases. In other words, syntactic figures focus on the grammatical and structural aspects of language, such as word order and sentence construction, while semantic figures focus on the meaning and interpretation of those linguistic elements. Syntactic figures deal with the form of language, while semantic figures deal with the content and meaning of language.
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