The Semantic Argument for the Existence of God - International Conference Insights
Explore the Semantic Argument and its implications for the existence of God as presented by Emanuel Rutten at the International Proofs of God's Existence Conference. The lecture delves into universal properties, formal versus non-formal properties, and the likelihood of God's existence based on thes
0 views • 14 slides
ENGLISH PHRASEOLOGY.THE ENGLISH VOCABULARY STRATIFICATION.
Explore the concept of phraseological units, various classifications, categorial features, and semantic relations in phraseology, along with the stylistic stratification of the English vocabulary, covering literary words, colloquial words, and different types of word combinations. Discover how phras
5 views • 22 slides
Understanding Semasiology: The Study of Word Meaning
Semasiology is a branch of linguistics focused on the meaning of words. It delves into various aspects of lexical meaning, semantic development, polysemy, and semantic structure. Through exploring types of word meanings and semantic changes, semasiology helps us comprehend the intricate nuances of l
4 views • 19 slides
Understanding Classification Keys for Identifying and Sorting Things
A classification key is a tool with questions and answers, resembling a flow chart, to identify or categorize things. It helps in unlocking the identification of objects or living things. Explore examples like the Liquorice Allsorts Challenge and Minibeast Classification Key. Also, learn how to crea
1 views • 6 slides
Basics of Fingerprinting Classification and Cataloguing
Fingerprint classification is crucial in establishing a protocol for search, filing, and comparison purposes. It provides an orderly method to transition from general to specific details. Explore the Henry Classification system and the NCIC Classification, and understand why classification is pivota
5 views • 18 slides
Understanding ROC Curves in Multiclass Classification
ROC curves are extended to multiclass classification to evaluate the performance of models in scenarios such as binary, multiclass, and multilabel classifications. Different metrics such as True Positive Rate (TPR), False Positive Rate (FPR), macro, weighted, and micro averages are used to analyze t
3 views • 8 slides
Understanding Semantic Features in Language Study
Studying basic conceptual meaning is crucial in language analysis to explain the oddness in sentences like "The hamburger ate the boy." Semantic roles and thematic roles help identify the roles of entities in a sentence, such as agents and themes. By analyzing the components of conceptual meaning, w
1 views • 12 slides
Understanding Semantic Memory Models in Cognitive Psychology
Explore the structure and processes of semantic memory through traditional and neural network views. Delve into symbolic and network models, such as Collins & Quillian's 1970 model, which organize concepts as nodes and links, depicting relationships between concepts within semantic memory representa
1 views • 78 slides
Understanding Exceptions in Computer Science
Errors in programming, such as syntax, semantic, runtime, and logical errors, can disrupt the execution of a program. Syntax errors relate to grammatical violations, semantic errors occur when statements lack meaning, and runtime errors happen during program execution due to illegal operations. By i
1 views • 35 slides
Understanding ICD-11 and ICHI: Terminology, Overview, and Purpose
International Classification of Diseases (ICD-11) and International Classification of Health Interventions (ICHI) provide a comprehensive framework for recording and analyzing health data globally. The system ensures semantic interoperability, integrates terminology and classification, and supports
4 views • 21 slides
Understanding Semantic Roles in Linguistics
Semantic roles, also known as theta roles, play a crucial part in understanding the relationships between participants and verbs in a sentence. They include agents, experiencers, causers, positioners, subject complements, and objects. Agents are typically the doers of actions, experiencers receive e
1 views • 18 slides
Understanding Semantic Roles in Sentence Structure
Semanticists analyze sentences based on semantic structure rather than traditional syntactic terms like subject and object. Instead, they use semantic terms such as Agent, External causer, Instrument, Affected, Recipient, and Locative. These terms help describe how people and things participate in r
1 views • 26 slides
AI Projects at WIPO: Text Classification Innovations
WIPO is applying artificial intelligence to enhance text classification in international patent and trademark systems. The projects involve automatic text categorization in the International Patent Classification and Nice classification for trademarks using neural networks. Challenges such as the av
2 views • 10 slides
Semantic Analysis of Clinical Narratives Using Complex Knowledge Graphs
Need for improved semantic analysis of clinical narratives for information retrieval and decision support is addressed through the use of complex knowledge graphs. These graphs capture axiomatic descriptions of generalizable truths about entities in the medical domain, providing a language-independe
0 views • 8 slides
Understanding Semantic Properties in Lexical Semantics
Explore the concept of semantic properties in lexical semantics through examples involving word meanings and relationships. Learn how semantic properties form the basic building blocks of language construction, sharing common attributes among words while also showing contrastive distinctions. Dive i
0 views • 17 slides
Evolution of Semantic Field Theory in Linguistics
The theory of semantic fields, also known as field-theory, originated in the 1920s and 1930s with German and Swiss scholars. J. Trier and L. Weisgerber further developed this theory post World War II, associating it with the Language and Society movement. Trier's approach focused on comparing the st
0 views • 20 slides
Theories of Long-Term Memory: Types and Evidence
The theories of long-term memory propose the existence of qualitatively different memory subsystems, such as semantic and episodic memory. Evidence for these theories mainly comes from clinical case studies looking for dissociations between different types of memory. This quiz explores the complexit
3 views • 4 slides
Overview of Fingerprint Classification and Cataloguing Methods
Explore the basics of fingerprint classification, including Henry Classification and NCIC Classification systems. Learn about the importance of classification in establishing protocols for searching and comparison. Discover the components of Henry Classification, such as primary, secondary, sub-seco
1 views • 21 slides
Understanding the Importance of Semantic HTML Tags
In this lecture, we delve into the significance of semantic HTML tags in structuring web content. We explore when to use
2 views • 9 slides
Exploring Semantic Web Technologies: RDFa, GRDDL, and POWDER
Delve into the depths of Semantic Web technologies with a focus on RDFa, GRDDL, and POWDER through the guidance of Dr. Nicholas Gibbins. Learn about embedding Semantic Web data, republishing embedded data, and the usage of GRDDL for XML transformations.
13 views • 38 slides
Understanding Semantic Properties of Verbs in English Language
Explore the semantic properties of English verbs through various examples and classifications. Discover how verbs like hit, kiss, and touch share common properties, while verbs like make, create, imagine, and build belong to different classes based on their semantic relationships. Delve into the gra
0 views • 17 slides
Understanding Word Meaning through Vector Space Models
Explore how Vector-Space (Distributional) Lexical Semantics represent word meanings as points in a high-dimensional space. Learn about Semantic similarity, creating sample lexical vector spaces, and using word vectors to measure semantic relatedness. Discover how other contextual features and featur
0 views • 33 slides
Overview of Semantic Web and RDF Concepts
This content delves into concepts related to Semantic Web, RDF (Resource Description Framework), and formalisms of Trust Reasoning Representation. It covers topics such as RDF resource description, triple models, machine interpretation challenges, and the role of key figures like Timothy John Berner
0 views • 38 slides
Enhancing Chapel Compiler with Interfaces and Semantic Changes
Explore the evolution of Chapel compiler with the integration of interfaces, semantic modifications, and improvements in error messages. Delve into the concepts of constrained generics, function call hijacking prevention, and the impact on compiler efficiency.
0 views • 30 slides
Semantic Web Technologies and Knowledge Representation Overview
Semantic Web technologies such as RDF, RDFS, OWL, and SPARQL form the basis of a web of data designed for machine understanding. Knowledge representation languages play a crucial role in AI, with Semantic Web languages like OWL leading the current generation. Contrasting database and knowledge base
0 views • 50 slides
Dynamic Semantic Parser Approach for Sequential Question Answering
Using a Dynamic Semantic Parser approach, the research focuses on Sequential Question Answering (SQA) by structuring queries based on semantic parses of tables as single-table databases. The goal is to generate structured queries for questions by defining formal query languages and actions for trans
0 views • 23 slides
Understanding Semantic Effects in Verbal Short-term Memory
Investigating the impact of semantic knowledge and similarity on verbal short-term memory, this study delves into how imageability of words influences recall. Key findings highlight the influence of semantic relatedness and the imageability effect on memory retention, shedding light on the mechanism
0 views • 47 slides
Unveiling Polarity with Polarity-Inducing Latent Semantic Analysis
Polarity-Inducing Latent Semantic Analysis (PILSA) introduces a novel vector space model that distinguishes antonyms from synonyms. By encoding polarity information, synonyms cluster closely while antonyms are positioned at opposite ends of a unit sphere. Existing models struggle with finer distinct
1 views • 29 slides
Multimodal Semantic Indexing for Image Retrieval at IIIT Hyderabad
This research delves into multimodal semantic indexing methods for image retrieval, focusing on extending Latent Semantic Indexing (LSI) and probabilistic LSI to a multi-modal setting. Contributions include the refinement of graph models and partitioning algorithms to enhance image retrieval from tr
1 views • 28 slides
Semantic Data Model of Electronic Invoicing Core Elements
Presentation by Fred van Blommestein on the EN16931-1 semantic data model of core elements in electronic invoicing, covering invoice processes, core invoice design, semantic model details, business rules, and invoicing principles. The model includes 160 elements in 33 groups, with mandatory elements
0 views • 13 slides
Revisiting Semantic Feature Analysis: A Classic Therapy Technique
Aphasia often involves semantic breakdown, and Semantic Feature Analysis (SFA) is a foundational technique for various treatments addressing semantic impairments. This presentation explores the effectiveness of SFA in improving naming, generalization to spontaneous speech, and treatment goals beyond
0 views • 16 slides
Hierarchical Semi-Supervised Classification with Incomplete Class Hierarchies
This research explores the challenges and solutions in semi-supervised entity classification within incomplete class hierarchies. It addresses issues related to food, animals, vegetables, mammals, reptiles, and fruits, presenting an optimized divide-and-conquer strategy. The goal is to achieve semi-
0 views • 18 slides
Integrated Reporting Workshop Wrap-Up and Next Steps
The workshop on integrated reporting held on 1st December 2022 focused on enhancing proposals, planning JBRC setup, data dictionary governance, semantic integration, and more. The roadmap for 2023 includes topics like data granularity, governance, and continuous work on semantic and syntactic layers
0 views • 4 slides
Understanding Classification in Data Mining
Classification in data mining involves assigning objects to predefined classes based on a training dataset with known class memberships. It is a supervised learning task where a model is learned to map attribute sets to class labels for accurate classification of unseen data. The process involves tr
0 views • 26 slides
Semantic Relations Expressed by Prepositions in Modeling Study
Explore the study on modeling semantic relations expressed by prepositions conducted by Vivek Srikumar and Dan Roth from the University of Illinois, Urbana-Champaign. The research delves into prepositions triggering relations, ontology of preposition relations, examples of preposition relations, pre
0 views • 25 slides
Ensembling Diverse Approaches to Question Answering
Diverse types of question answering approaches include factoid querying, compositional querying of structured databases/knowledge graphs, reading comprehension, and visual question answering. Limitations of factoid question answering are also discussed, highlighting the need for specific queries and
0 views • 28 slides
Annotating Semantic Issues in Translation for Students
This chapter delves into semantic issues in translation, aiming to assist students in annotating their translations from a semantic viewpoint. It emphasizes using semantic information to aid in translating data accurately while maintaining communicative effectiveness. The story discussed highlights
0 views • 19 slides
Semantic Classification of Prepositions in Bulgarian WordNet: A Comprehensive Overview
This presentation delves into the semantic classification of prepositions in the BulTreeBank WordNet, focusing on the incorporation of prepositions, closed-class words, and the benefits for neural model building in Bulgarian language processing. The motivation behind the study, challenges posed by p
0 views • 7 slides
Requirements for Semantic Biobanks and Global Biobank Data Retrieval
Explore the critical aspects of semantic interoperability in biobanking, highlighting the need for formal ontologies, comprehensive annotations, and model of meaning data. The (Generalized) Biomedical Retrieval Scenario underscores the importance of effective resource retrieval based on content-base
0 views • 16 slides
Exploring Binary Representation and Semantic Approaches in Data and Programs
Delve into the fascinating realm of binary representation and semantic approaches in data and programs through a series of discussions and examples. Topics include encoding/decoding relevance, tamper-proof bytecode formats, incorporating semantic info for compact encodings, and playing guess-who gam
0 views • 21 slides