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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...

  3. Semantic Scholar - Wikipedia

    en.wikipedia.org/wiki/Semantic_Scholar

    Semantic Reader provides in-line citation cards that allow users to see citations with TLDR summaries as they read and skimming highlights that capture key points of a paper so users can digest faster. In contrast with Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential elements of a paper. [13]

  4. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [ 1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual ...

  5. Triangle of reference - Wikipedia

    en.wikipedia.org/wiki/Triangle_of_reference

    The triangle of reference (also known as the triangle of meaning[ 1] and the semiotic triangle) is a model of how linguistic symbols relate to the objects they represent. The triangle was published in The Meaning of Meaning (1923) by Charles Kay Ogden and I. A. Richards. [ 2] While often referred to as the "Ogden/Richards triangle", the idea ...

  6. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data. This is in contrast to semantic search, which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.

  7. Distributional semantics - Wikipedia

    en.wikipedia.org/wiki/Distributional_semantics

    Distributional semantics [1] is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties in large samples of language data. The basic idea of distributional semantics can be summed up in the so-called distributional ...

  8. Explicit semantic analysis - Wikipedia

    en.wikipedia.org/wiki/Explicit_semantic_analysis

    Explicit semantic analysis. In natural language processing and information retrieval, explicit semantic analysis ( ESA) is a vectoral representation of text (individual words or entire documents) that uses a document corpus as a knowledge base. Specifically, in ESA, a word is represented as a column vector in the tf–idf matrix of the text ...

  9. Scope (formal semantics) - Wikipedia

    en.wikipedia.org/wiki/Scope_(formal_semantics)

    Scope can be thought of as the semantic order of operations. One of the major concerns of research in formal semantics is the relationship between operators' syntactic positions and their semantic scope. This relationship is not transparent, since the scope of an operator need not directly correspond to its surface position and a single surface ...