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Title: Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1643307
Report Number(s):
SAND2019-14021C
681549
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Machine Learning in HPC Environments workshop held November 18, 2019 in Denver, CO, United States.
Country of Publication:
United States
Language:
English

Citation Formats

Moon, Gordon Euhyun, Newman-Griffis, Denis, Kim, Jinsung, Sukumaran-Rajam, Aravind, Fosler-Lussier, Eric, and Sadayappan, P. Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings.. United States: N. p., 2019. Web. doi:10.1109/MLHPC49564.2019.00010.
Moon, Gordon Euhyun, Newman-Griffis, Denis, Kim, Jinsung, Sukumaran-Rajam, Aravind, Fosler-Lussier, Eric, & Sadayappan, P. Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings.. United States. doi:10.1109/MLHPC49564.2019.00010.
Moon, Gordon Euhyun, Newman-Griffis, Denis, Kim, Jinsung, Sukumaran-Rajam, Aravind, Fosler-Lussier, Eric, and Sadayappan, P. Fri . "Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings.". United States. doi:10.1109/MLHPC49564.2019.00010. https://www.osti.gov/servlets/purl/1643307.
@article{osti_1643307,
title = {Parallel Data-Local Training for Optimizing Word2Vec Embeddings for Word and Graph Embeddings.},
author = {Moon, Gordon Euhyun and Newman-Griffis, Denis and Kim, Jinsung and Sukumaran-Rajam, Aravind and Fosler-Lussier, Eric and Sadayappan, P.},
abstractNote = {Abstract not provided.},
doi = {10.1109/MLHPC49564.2019.00010},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {11}
}

Conference:
Other availability
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