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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Visual illustration of word embeddings. The word embedding approach is able to capture multiple different degrees of similarity between words. Mikolov et al. (2013) [26] found that semantic and syntactic patterns can be reproduced using vector arithmetic. Patterns such as "Man is to Woman as Brother is to Sister" can be generated through ...

  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. Word-sense disambiguation - Wikipedia

    en.wikipedia.org/wiki/Word-sense_disambiguation

    For each context window, MSSA calculates the centroid of each word sense definition by averaging the word vectors of its words in WordNet's glosses (i.e., short defining gloss and one or more usage example) using a pre-trained word-embedding model. These centroids are later used to select the word sense with the highest similarity of a target ...

  5. N2 chart - Wikipedia

    en.wikipedia.org/wiki/N2_Chart

    The N 2 chart or N 2 diagram (pronounced "en-two" or "en-squared") is a chart or diagram in the shape of a matrix, representing functional or physical interfaces between system elements. It is used to systematically identify, define, tabulate, design, and analyze functional and physical interfaces.

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    In Multi-Token Prediction, a single forward pass creates a final embedding vector, which then is un-embedded into a token probability. However, that vector can then be further processed by another Transformer block to predict the next token, and so on for arbitrarily many steps into the future.

  7. List of Unified Modeling Language tools - Wikipedia

    en.wikipedia.org/wiki/List_of_Unified_Modeling...

    Microsoft Azure DevOps, Jira, Requirements.cc, Excel, Word Provides management of actors, use cases, user stories, declarative requirements, and test scenarios. Includes glossary, data dictionary, and issue tracking. Supports use case diagrams, auto-generated flow diagrams, screen mock-ups, and free-form diagrams. clang-uml: Un­known Un­known

  8. MscGen - Wikipedia

    en.wikipedia.org/wiki/Mscgen

    Mscgen (short for MSC generator) is a software tool for drawing message sequence charts [1] from a simple to manage text-based source file. Rendered charts can be output in PNG, SVG and PostScript, with hyperlink information in ismap format.

  9. VisSim - Wikipedia

    en.wikipedia.org/wiki/VisSim

    Models are built by sliding blocks into the work area and wiring them together with the mouse. Embed automatically converts the control diagrams into C-code ready to be downloaded to the target hardware. VisSim (now Altair Embed) uses a graphical data flow paradigm to implement dynamic systems, based on differential equations.