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  2. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    Intent segmentation is the problem of dividing written words into keyphrases (2 or more group of words). In English and all other languages the core intent or desire is identified and become the corner-stone of the keyphrase Intent segmentation. Core product/service, idea, action & or thought anchor the keyphrase. "[All things are made of atoms].

  3. Sentence boundary disambiguation - Wikipedia

    en.wikipedia.org/wiki/Sentence_boundary...

    In written English, a period may indicate the end of a sentence, or may denote an abbreviation, a decimal point, an ellipsis, or an email address, among other possibilities. About 47% of the periods in The Wall Street Journal corpus denote abbreviations. [ 1 ]

  4. Speech segmentation - Wikipedia

    en.wikipedia.org/wiki/Speech_segmentation

    For most spoken languages, the boundaries between lexical units are difficult to identify; phonotactics are one answer to this issue. One might expect that the inter-word spaces used by many written languages like English or Spanish would correspond to pauses in their spoken version, but that is true only in very slow speech, when the speaker deliberately inserts those pauses.

  5. Syntax–semantics interface - Wikipedia

    en.wikipedia.org/wiki/Syntax–Semantics_Interface

    In linguistics, the syntax–semantics interface is the interaction between syntax and semantics.Its study encompasses phenomena that pertain to both syntax and semantics, with the goal of explaining correlations between form and meaning. [1]

  6. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    U-Net was created by Olaf Ronneberger, Philipp Fischer, Thomas Brox in 2015 and reported in the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation". [1] It is an improvement and development of FCN: Evan Shelhamer, Jonathan Long, Trevor Darrell (2014). "Fully convolutional networks for semantic segmentation". [2]

  7. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Semantic segmentation is an approach detecting, for every pixel, the belonging class. [18] For example, in a figure with many people, all the pixels belonging to persons will have the same class id and the pixels in the background will be classified as background.

  8. Selection (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Selection_(linguistics)

    In contrast, predicates s-select the semantic content of their arguments. Thus s-selection is a semantic concept, whereas c-selection is a syntactic one. When the term selection or selectional restrictions appears alone without the c-or s-, s-selection is usually understood. [6] [7]

  9. Immediate constituent analysis - Wikipedia

    en.wikipedia.org/wiki/Immediate_constituent_analysis

    Harris expanded on Bloomfield's distributional analysis by providing a more formal approach to syntactic structure, specifically in English sentence analysis. In the 1940s and 1950s, Harris introduced the concept of immediate constituents as the parts of a sentence that can be directly combined to form larger units, such as noun phrases (NPs ...

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