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Hash2Vec, Feature Hashing for Word Embeddings Search 40 million+ papers from ArXiv, PubMed, and more… Luis Argerich, Joaquín Torré Zaffaroni, Matías J. Cano FAQ
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Published 2016 in ArXiv
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Abstract In this paper we propose the application of feature hashing to create word embeddings for natural language processing. Feature hashing has been used successfully to create document vectors in related tasks like document classification. In this work we show that feature hashing can be applied to obtain word embeddings in linear time with the size of the data… (More)
Feature Hashing John Langford • Mar 27, 2015 Word Embeddings and Neural Language Mod… REVIEW • Feb 28, 2016 Task-Oriented Learning of Word Embeddings … Kazuma Hashimoto + 3 • Sep 16, 2015 Show More
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