<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>efficient-estimation-of-word-representations-in-vector-space-2019-020</dc:title><dc:creator>Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean</dc:creator><dc:date>2019</dc:date><dc:description>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.</dc:description><dc:identifier>https://inrepscholar.com/projects/959</dc:identifier></oai_dc:dc>