Abstract
In the last decade, Artificial Intelligence (AI) has become lead on the field of information generation and processing tasks through the emergence of Machine Learning (ML), as well as the data specialist mentions Machine Learning is a master of pattern recognition, and is capable of transform a data sample into a computer program capable of drawing inferences from new data sets for which it has not been previously trained, based on artificial neural networks (ANN) processing in academic texts, which are used to identify patterns and classify different types of information, currently treated as Deep Learning (DL) which is a subset of Machine Learning, this algorithm tries to imitate the human brain by continuously analyzing data with a given logical structure, which has led to its applicability to different fields such as robotics, voice processing, artificial vision, natural language processing (NLP), with the intention to provide computer systems with the ability to learn. Natural language processing has traditionally been a complex and non-trivial task in algorithm design. Making use of AI, new thresholds are being reached in the state of the art of different problems and with constant advances in the models in use, they are being reached faster and faster.
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Marquez, B.Y., Alanis, A., Magdaleno-Palencia, J.S., Quezada, A. (2022). Artificial Neural Networks Applied to Natural Language Processing in Academic Texts. In: Guarda, T., Portela, F., Augusto, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2022. Communications in Computer and Information Science, vol 1675. Springer, Cham. https://doi.org/10.1007/978-3-031-20319-0_40
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