min word frequency, default=5
word vector dimensionality, default=100
window size, default=5
training epochs, default=1
batch size, default=12
learning rate, default=1E-1
mini learning rate, default=1E-6
whether to use AdaGrad, default=false
tokenizer factory, default=new DefaultTokenizerFactory
token preprocessor, default=new CommonPreprocessor
seed for random generator, default=2018
GVec: Global Vectors for Word Representation > Glove
Jeffrey Pennington and Richard Socher and Christopher D. Manning. Glove: Global Vectors for Word Representation. In EMNLP, 2014.