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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...

  3. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  4. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision .

  5. List of visual mnemonics - Wikipedia

    en.wikipedia.org/wiki/List_of_visual_mnemonics

    In the key of C, white keys represent leap years if every half-step between white key indicating 1 whole year between leap years and a whole-step between white keys indicates two complete years between leap years. For a total of 7 leap years for every 19 years beginning with C as year 0/year 19 in the cycle.

  6. List of linguistic example sentences - Wikipedia

    en.wikipedia.org/wiki/List_of_linguistic_example...

    A famous example for lexical ambiguity is the following sentence: "Wenn hinter Fliegen Fliegen fliegen, fliegen Fliegen Fliegen hinterher.", meaning "When flies fly behind flies, then flies fly in pursuit of flies." [40] [circular reference] It takes advantage of some German nouns and corresponding verbs being homonymous. While not noticeable ...

  7. Vector space model - Wikipedia

    en.wikipedia.org/wiki/Vector_space_model

    Candidate documents from the corpus can be retrieved and ranked using a variety of methods. Relevance rankings of documents in a keyword search can be calculated, using the assumptions of document similarities theory, by comparing the deviation of angles between each document vector and the original query vector where the query is represented as a vector with same dimension as the vectors that ...

  8. V2 word order - Wikipedia

    en.wikipedia.org/wiki/V2_word_order

    In syntax, verb-second (V2) word order [1] is a sentence structure in which the finite verb of a sentence or a clause is placed in the clause's second position, so that the verb is preceded by a single word or group of words (a single constituent). Examples of V2 in English include (brackets indicating a single constituent):

  9. Tatoeba - Wikipedia

    en.wikipedia.org/wiki/Tatoeba

    Tatoeba is a free collection of example sentences with translations geared towards foreign language learners.It is available in more than 400 languages. Its name comes from the Japanese phrase tatoeba (例えば), meaning 'for example'.

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