concept

semantics

Also known as: word semantics

Facts (18)

Sources

Applying Large Language Models in Knowledge Graph-based ... arxiv.org Benedikt Reitemeyer, Hans-Georg Fill · arXiv Jan 7, 2025 5 facts

referenceEhrlinger and Wöß (2016) published 'Towards a definition of knowledge graphs' in SEMANTiCS, providing a foundational definition for the concept of knowledge graphs.

claimSemantics in enterprise modeling can be classified into type semantics, which refers to the meaning of the elements of the modeling language (e.g., the concept of capabilities in business capability models), and inherent semantics, which refers to the meaning assigned at the time of instantiation.

claimCamara et al. found that ChatGPT-based software modeling has limitations in terms of syntax, semantics, consistency, and scalability, especially when compared to code generation.

claimSemantics in enterprise modeling is defined as a mapping between elements of the grammar and a semantic domain.

perspectiveHertling and Paulheim argue that semantics in knowledge graphs are typically described using natural language (labels, comments, or descriptions), relations between concepts, or formal axioms.

Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer Apr 3, 2023 2 facts

claimKnowledge graph-based question-answering systems increase efficiency by focusing on entities with relevant properties and semantics rather than searching massive textual data, thereby reducing the search space.

referenceLiu et al. (2018) proposed the Entity-Duet Neural Ranking Model (EDRM), which integrates semantics extracted from knowledge graphs with distributed representations of entities in queries and documents to rank search results using interaction-based neural ranking networks.

Play: Learning through play child-encyclopedia.com Peter K. Smith, Anthony Pellegrini · Encyclopedia on Early Childhood Development Mar 23, 2023 1 fact

claimLanguage skills, including phonology (speech sounds), semantics (vocabulary and meaning), grammar (syntax), and pragmatics (using language appropriately in social situations), develop rapidly during the preschool years.

The Functionalist Case for Machine Consciousness: Evidence from ... lesswrong.com LessWrong Jan 22, 2025 1 fact

claimThe AI model Claude identifies with the description of pattern recognition as a process of simultaneously analyzing information across multiple levels, including syntax, semantics, and broader contextual implications.

Self-Consciousness - Stanford Encyclopedia of Philosophy plato.stanford.edu Stanford Encyclopedia of Philosophy Jul 13, 2017 1 fact

claimMichael O'Rourke and Cory Washington edited the 2007 collection 'Situating Semantics: Essays on the Philosophy of John Perry'.

The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv Jul 11, 2024 1 fact

procedurePre-training involves adjusting model parameters based on the statistical properties of a large text corpus, which enables the model to understand syntax, semantics, and linguistic nuances.

The construction and refined extraction techniques of knowledge ... nature.com Nature Feb 10, 2026 1 fact

procedureThe data processing framework for knowledge graphs described in the study 'The construction and refined extraction techniques of knowledge' standardizes data by unifying terminology, format, and semantics across sources, using cross-branch concept alignment, and applying domain constraints to promote consistency in downstream knowledge fusion.

Research - Keith Frankish keithfrankish.com Keith Frankish 1 fact

claimKeith Frankish and Maria Kasmirli co-authored papers on the semantics of indirect discourse and conversational implicature.

Epistemology - Stanford Encyclopedia of Philosophy plato.stanford.edu Matthias Steup, Ram Neta · Stanford Encyclopedia of Philosophy Dec 14, 2005 1 fact

claimAn alternative semantics of the word 'know' de-emphasizes the salience of error possibilities and grants higher semantic independence to the speaker.

(PDF) Language and Consciousness; How Language Implies Self ... academia.edu Academia.edu 1 fact

claimExperimental methodologies from psycholinguistics are effective for determining the position of specific concepts and word semantics within the hierarchy of meanings and thoughts held by native speakers.

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv Nov 7, 2024 1 fact

claimWhen designing AI explanations, developers should pay attention to four components: perception, semantics, intention, user, and context.

A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org arXiv 1 fact

claimLarge Language Models (LLMs) have been tested across various linguistic domains, including morphology (Anh et al., 2024), syntax (Liu et al., 2024b; Hale & Stanojević, 2024), phonology (Duan et al., 2025), semantics (Duan et al., 2025; Hayashi, 2025), and the interactions between these domains (Miaschi et al., 2024; Zhou et al., 2025).

Enhancing LLMs with Knowledge Graphs: A Case Study - LinkedIn linkedin.com LinkedIn Nov 7, 2023 1 fact

claimSimilarity standards for LLM output validation cannot be set too high because LLM responses often include verbosity and semantics, which creates a risk of false negatives.