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Transparent, Efficient, and Robust Word Embedding Access with WOMBAT
Mark-Christoph Müller
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Michael Strube
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Paper Details:
Month: August
Year: 2018
Location: Santa Fe, New Mexico
Venue:
COLING |
Citations
URL
No Citations Yet
https://github.com/nlpAThits/WOMBAT
https://github.com/stanfordnlp/GloVe/blob/master/src/README.md
https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?usp=sharing
https://radimrehurek.com/gensim/models/word2vec.html
https://github.com/3Top/
https://github.com/stephantul/reach
https://github.com/vecto-ai/vecto
http://vectors.nlpl.eu/repository
http://wordvectors.org
https://github.com/
http://bit.ly/embeddings
https://sqlite.org
Field Of Study
Linguistic Trends
Embeddings
Syntax
Language
English
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