Exploración del modelo Word2Vec: Bag-of-Words y Skip-gram, en el marco del Procesamiento del Lenguaje Natural.
| dc.contributor.advisor | Masmela Caita, Luis Alejandro | |
| dc.contributor.author | Casas Peñarete , Cristian Camilo | |
| dc.contributor.orcid | Masmela Caita,Luis Alejandro [0000-0003-3882-4980] | |
| dc.date.accessioned | 2024-12-18T22:06:09Z | |
| dc.date.available | 2024-12-18T22:06:09Z | |
| dc.date.created | 2024-05-22 | |
| dc.description | Nuestro objetivo consiste en comprender el funcionamiento de las dos redes neuronales que forman parte del modelo Word2Vec, presentado por Mikolov et al\cite{mikolovl-inguistic}. Con este propósito, ofreceremos una breve introducción al concepto de redes neuronales y su proceso de entrenamiento. Luego, proporcionaremos una breve contextualización sobre el procesamiento del lenguaje natural, para finalmente adentrarnos en el detalle del funcionamiento de los modelos Word2Vec. Este análisis incluirá nociones sobre por qué estos modelos son efectivos, respaldado por ejemplos ilustrativos | |
| dc.description.abstract | Our objective is to understand the functioning of the two neural networks that are part of the Word2Vec model, presented by Mikolov et al. To achieve this, we will provide a brief introduction to the concept of neural networks and their training process. Then, we will offer a brief contextualization of natural language processing, and finally, delve into the details of how the Word2Vec models work. This analysis will include notions of why these models are effective, supported by illustrative examples. | |
| dc.identifier.uri | http://hdl.handle.net/11349/92075 | |
| dc.relation.references | Yoav Goldberg. FEATURES FOR NLP PROBLEMS, pages 60–69. Morgan and Claypool, 2017 | |
| dc.relation.references | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, and Jonathan Taylor. Deep Lear- ning, pages 399–467. Springer International Publishing, Cham, 2023. | |
| dc.relation.references | Ker-I. Ko and Harvey Friedman. Computational complexity of real functions. Theoretical Computer Science, 20(3):323–352, 1982 | |
| dc.relation.references | Thalom Lappin and Chris Fox. Plurals, pages 504–505. Blackwell Publishing Ltd, 2015 | |
| dc.relation.references | Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word represen- tations in vector space, 2013. | |
| dc.relation.references | Xin Rong. word2vec parameter learning explained, 2016. | |
| dc.relation.references | McMahan Brtian Rao Delip. Foundational components of neural networks. In Natural Language Processing with PyTorch, chapter 3, pages 44 – 51. O’Reilly Media, 2019. | |
| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Redes neuronales | |
| dc.subject | Retropropagación | |
| dc.subject | Procesamiento del Lenguaje Natural | |
| dc.subject | Wor2Vec | |
| dc.subject.keyword | Neural Networks, Backpropagation, Natural Language Processing, Word2Vec. | |
| dc.subject.keyword | Backpropagation, | |
| dc.subject.keyword | Natural Language Processing | |
| dc.subject.keyword | Word2Vec | |
| dc.subject.lemb | Matemáticas -- Tesis y disertaciones académicas | |
| dc.subject.lemb | Redes neurales (Computadores) | |
| dc.subject.lemb | Lingüística computacional | |
| dc.subject.lemb | Word2Vec | |
| dc.title | Exploración del modelo Word2Vec: Bag-of-Words y Skip-gram, en el marco del Procesamiento del Lenguaje Natural. | |
| dc.title.titleenglish | Exploration of the Word2Vec Model: Bag-of-Words and Skip-gram within the Framework of Natural Language Processing. | |
| dc.type | bachelorThesis | |
| dc.type.degree | Monografía | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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