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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [14] [15] doc2vec has been implemented in the C, Python and Java/Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.

  3. Paragraph - Wikipedia

    en.wikipedia.org/wiki/Paragraph

    The Greek parágraphos evolved into the pilcrow (¶), which in English manuscripts in the Middle Ages can be seen inserted inline between sentences. Indented paragraphs demonstrated in the US Constitution. Ancient manuscripts also divided sentences into paragraphs with line breaks followed by an initial at the beginning of the next paragraph ...

  4. Topic sentence - Wikipedia

    en.wikipedia.org/wiki/Topic_sentence

    Also known as a focus sentence, a topic sentence encapsulates or organizes an entire paragraph. Although topic sentences may appear anywhere in a paragraph, in academic essays they often appear at the beginning. The topic sentence acts as a kind of summary, and offers the reader an insightful view of the paragraph's main ideas. [3] More than ...

  5. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...

  6. Logic translation - Wikipedia

    en.wikipedia.org/wiki/Logic_translation

    This function maps sentences of the first system to sentences of the second system while obeying the entailment relations between the original sentences. This means that if a sentence entails another sentence in the first logic, then the translation of the first sentence should entail the translation of the second sentence in the second logic.

  7. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics.The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing.

  8. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    For text, extraction is analogous to the process of skimming, where the summary (if available), headings and subheadings, figures, the first and last paragraphs of a section, and optionally the first and last sentences in a paragraph are read before one chooses to read the entire document in detail. [10]

  9. Typographic alignment - Wikipedia

    en.wikipedia.org/wiki/Typographic_alignment

    Some modern desktop publishing programs, such as Adobe InDesign, evaluate the effects of all the different possible line-break choices on the entire paragraph, to choose the one that creates the least variance from the ideal spacing while justifying the lines (so as to reduce rivers); this also gives the least uneven edge when set with a ragged ...

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