nlp
Word Embeddings for testing:
Please use tool provided here to generate sense vectors for reproducting the RETRO model:
https://github.com/sjauhar/SenseRetrofit
All codes in my Essay could be found at:
scr/sense_fusion/ folder.
The models correspondent files are:
CBOW: simple.py
Sense Pooling (SPM): simple_linear.py
Optimized Sense Pooling (OSPM): opt1_linear_new.py
Neural Network Model (NNOSPM): NN_hidden.py
Word Vectors used in this model could be download at:
The Result of NN model with C(s_i)^{(t-1)} - C_(s_i)^{(t)} > epsilon (= 1e-8):
DEVELOPMENT NOTES
H28 May 28th,: Project reopen for my essay on NAIST.
there are 48 different words in R&G-65