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  2. Simian - Wikipedia

    en.wikipedia.org/wiki/Simian

    Simian. The simians, anthropoids, or higher primates are an infraorder ( Simiiformes / ˈsɪmi.ɪfɔːrmiːz /) of primates containing all animals traditionally called monkeys and apes. More precisely, they consist of the parvorders Platyrrhini (New World monkeys) and Catarrhini, the latter of which consists of the family Cercopithecidae ( Old ...

  3. Chaos engineering - Wikipedia

    en.wikipedia.org/wiki/Chaos_engineering

    Chaos Monkey is now part of a larger suite of tools called the Simian Army designed to simulate and test responses to various system failures and edge cases. The code behind Chaos Monkey was released by Netflix in 2012 under an Apache 2.0 license.

  4. Thesaurus - Wikipedia

    en.wikipedia.org/wiki/Thesaurus

    A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.

  5. WordNet - Wikipedia

    en.wikipedia.org/wiki/WordNet

    WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [ 14] However, it has been argued that WordNet encodes sense distinctions that are too fine-grained.

  6. Roget's Thesaurus - Wikipedia

    en.wikipedia.org/wiki/Roget's_Thesaurus

    Conceiving that such a compilation might help to supply my own deficiencies, I had, in the year 1805, completed a classed catalogue of words on a small scale, but on the same principle, and nearly in the same form, as the Thesaurus now published. [4] Roget's Thesaurus is composed of six primary classes. [5]

  7. Ontology learning - Wikipedia

    en.wikipedia.org/wiki/Ontology_learning

    Ontology learning (ontology extraction, ontology generation, or ontology acquisition) is the automatic or semi-automatic creation of ontologies, including extracting the corresponding domain's terms and the relationships between the concepts that these terms represent from a corpus of natural language text, and encoding them with an ontology language for easy retrieval.

  8. Is BMI Really Accurate? Pros vs Cons - AOL

    www.aol.com/bmi-really-accurate-pros-vs...

    Having an elevated BMI is associated with a higher risk of conditions like heart disease, gallstones, sleep apnea, osteoarthritis, high blood pressure, type 2 diabetes and certain cancers ...

  9. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    v. t. 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 ...

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