efficient-estimation-of-word-representations-in-vector-space-2019-020

Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean

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efficient-estimation-of-word-representations-in-vector-space-2019-020

Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey DeanUFTAN UNIVERSITYComputer Science2019

Abstract

This record links to the word2vec paper, which presents efficient methods for learning distributed word representations. It is useful for testing older but influential NLP documents, keyword matching, and public external PDF access.

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Author: Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
Supervisor: Dr. Boma E. George
Faculty: Science
Department: Computer Science
Document type: Final Year Project
Year: 2019
Keywords: word embeddings, word2vec, vector space models, language modelling, NLP
Access: Metadata
License: all_rights_reserved

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Auto-generated from the record metadata: authors, journal title, DOI, volume, issue/serial, pages and publication date. Review before final academic use.

Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean (2026). efficient-estimation-of-word-representations-in-vector-space-2019-020 [Final Year Project]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/959

Source fields used: Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean

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efficient-estimation-of-word-representations-in-vector-space-2019-020

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