A semantic feature is a component of the concept associated with a lexical item ('female' + 'performer' = 'actress'). More generally, it can also be a...

A semantic class contains words that share a semantic feature. For example within nouns there are two sub classes, concrete nouns and abstract nouns....

Semantic properties or meaning properties are those aspects of a linguistic unit, such as a morpheme, word, or sentence, that contribute to the meaning...

Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...

The semantic feature comparison model is used "to derive predictions about categorization times in a situation where a subject must rapidly decide whether...

account for asymmetries in the ways that words are used. According to a semantic feature analysis, there is nothing more to the meanings of "boy" and "girl"...

The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal...

In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It...

Areal feature Distinctive feature Featural writing system Markedness Semantic feature Kibort, Anna & Corbett, Greville G. Grammatical Features - Feature Inventory...

A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped...

meaning components called semantic features. The word horse has the semantic feature animate but lacks the semantic feature human. It may not always be...

Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015...

Semantic matching is a technique used in computer science to identify information that is semantically related. Given any two graph-like structures, e...

In computer science, an abstract semantic graph (ASG) or term graph is a form of abstract syntax in which an expression of a formal or programming language...

In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs...

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...

In computer science, the semantic desktop is a collective term for ideas related to changing a computer's user interface and data handling capabilities...

Animacy (antonym: inanimacy) is a grammatical and semantic feature, existing in some languages, expressing how sentient or alive the referent of a noun...

of correctness, equivalence, and termination". Floyd further wrote: A semantic definition of a programming language, in our approach, is founded on a...

Semantic folding theory describes a procedure for encoding the semantics of natural language text in a semantically grounded binary representation. This...

drawing as a way of communicating, trained conversation partners Semantic feature analysis (SFA) — a type of aphasia treatment that targets word-finding...

patients with word finding problems. One example of a semantic approach is referred to as semantic feature analyses. The process includes naming the target...

of lexicology. Since lexicology studies the meaning of words and their semantic relations, it often explores the history and development of a word. Etymologists...

Retrieved 2019-12-04. Wambaugh JL, Ferguson M (2007). "Application of semantic feature analysis to retrieval of action names in aphasia". J Rehabil Res Dev...

Semantic file systems are file systems used for information persistence which structure the data according to their semantics and intent, rather than the...

In linguistics, definiteness is a semantic feature of noun phrases that distinguishes between referents or senses that are identifiable in a given context...

Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning...

Analysis Compositionality Context Prototype theory Force dynamics Semantic feature Semantic gap Theory of descriptions Analysis Latent Computational Machine...

recursion semantics Natural-language understanding Semantic compression Semantic parsing Semantic Web SemEval WordNet Blackburn, P., and Bos, J. (2005)...

attributed to PlatoPages displaying short descriptions of redirect targets Semantic feature-comparison model Similarity (philosophy) – Relation of resemblance...