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...
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forms of semantic networks has been created for specific use. For example, in 2008, Fawsy Bendeck's PhD thesis formalized the Semantic Similarity Network...
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A semantic similarity network (SSN) is a special form of semantic network. designed to represent concepts and their semantic similarity. Its main contribution...
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Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...
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also called string similarity Semantic similarity, in computational linguistics Lexical similarity Semantic similarity Similarity between two different...
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Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...
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Semantic change (also semantic shift, semantic progression, semantic development, or semantic drift) is a form of language change regarding the evolution...
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the few terms before it. Explicit semantic analysis Information extraction Semantic similarity Stochastic semantic analysis – Approach to language processing...
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based on a similarity function Similarity learning – Supervised learning of a similarity function Self-similarity matrix Semantic similarity – Natural...
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Word2vec (category Semantic relations)
vectors which are nearby as measured by cosine similarity. This indicates the level of semantic similarity between the words, so for example the vectors...
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analysis, cosine similarity is a measure of similarity between two non-zero vectors defined in an inner product space. Cosine similarity is the cosine of...
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Proportionality Basic proportionality theorem Semantic similarity Similarity search Similarity (philosophy) Similarity space on numerical taxonomy Homoeoid (shell...
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and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties...
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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...
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completed experiments on latent semantic analysis (LSA) that supported the opposite. Instead of an increase in semantic similarity when there was a decrease...
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The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide...
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Semantic matching is a technique used in computer science to identify information which is semantically related. Given any two graph-like structures,...
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Semantic discord is the situation where two parties disagree on the definition of a word(s) that is essential to communicating or formulating the concept(s)...
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of researchers to compute what they refer to as "semantic relatedness" by means of cosine similarity between the aforementioned vectors, collectively...
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SemEval (section Semantic evaluation tasks)
SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation...
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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...
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Search engines like Semantic Scholar provide organized access to millions of articles. Relationship extraction Semantic similarity Text analytics Budanitsky...
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Semantic satiation is a psychological phenomenon in which repetition causes a word or phrase to temporarily lose meaning for the listener, who then perceives...
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the subject of the Semantic Differential. Likert scale Componential analysis Semantic gap Semantic similarity Semantic similarity network Structural differential...
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Disambiguation, Semantic similarity, and also to automatically rank WordNet synsets according to how strongly they possess a given semantic property, such...
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Locality-sensitive hashing (section Semantic hashing)
guarantee. Semantic hashing is a technique that attempts to map input items to addresses such that closer inputs have higher semantic similarity. The hashcodes...
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used together with ob ("consulter with familiar spirits"), and its semantic similarity to doresh el ha-metim ("necromancer", or "one who directs inquiries...
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of correctness, equivalence, and termination". Floyd further wrote: A semantic definition of a programming language, in our approach, is founded on a...
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In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs...
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of lexicology. Since lexicology studies the meaning of words and their semantic relations, it often explores the history and development of a word. Etymologists...
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