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Listar UNIDADES ACADÉMICAS PROFESIONALES por autor "HERNANDEZ CASTAÑEDA, ANGEL"

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  • Evolutionary Automatic Text Summarization using Cluster Validation Indexes 
    HERNANDEZ CASTAÑEDA, NESTOR; GARCIA HERNANDEZ, RENE ARNULFO; HERNANDEZ CASTAÑEDA, ANGEL; Ledeneva, Yulia (Computación y Sistemas, 2020-10-12)
    The main problem for generating an extractive automatic text summary (EATS) is to detect the key themes of a text. For this task, unsupervised approaches cluster the sentences of the original text to find the key sentences ...
  • Extractive Automatic Text Summarization Based on Lexical-Semantic Keywords 
    HERNANDEZ CASTAÑEDA, ANGEL; GARCIA HERNANDEZ, RENE ARNULFO; Ledeneva, Yulia; MILLAN HERNANDEZ, CHRISTIAN EDUARDO (IEEE Access, 2020-03-11)
    The automatic text summarization (ATS) task consists in automatically synthesizing a document to provide a condensed version of it. Creating a summary requires not only selecting the main topics of the sentences but also ...
  • Ground Truth Spanish Automatic Extractive Text Summarization Bounds 
    Matias Mendoza, Griselda Areli; GARCIA HERNANDEZ, RENE ARNULFO; Ledeneva, Yulia; HERNANDEZ CASTAÑEDA, ANGEL; Mihail, Aleksandrov (Computación y Sistemas, 2020-10-12)
    The textual information has accelerated growth in the most spoken languages by native Internet users, such as Chinese, Spanish, English, Arabic, Hindi, Portuguese, Bengali, Russian, among others. It is necessary to innovate ...
  • The Impact of Key Ideas on Automatic Deception Detection in Text 
    HERNANDEZ CASTAÑEDA, ANGEL; Ledeneva, Yulia; GARCIA HERNANDEZ, RENE ARNULFO; MILLAN HERNANDEZ, CHRISTIAN EDUARDO (Computación y Sistemas, 2020-10-12)
    In recent years, with the rise of the Internet, the automatic deception detection in text is an important task to recognize those of documents that try to make people believe in something false. Current studies in this ...

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