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TensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18
Home Page: http://aclweb.org/anthology/N18-1142
License: MIT License
Python 89.62%
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Hi
My data set has document ,query with corresponding label (0/1 0 for negative 1 for positive). I want to test your working models on my own data set. What are the steps need to fallow to create the data which i can feed to any one your model architectures
Hello, I'm using Windows system and can't install tensorflow with Python 2.7. What's the matter?
python HRDE_Model_mem_SA.py --batch_size 64 --encoder_size 185 --context_size 30 --encoderR_size 40 --num_layer 1 --hidden_dim 300 --num_layer_con 1 --hidden_dim_con 300 --embed_size 300 --lr=0.001 --num_train_steps 100000 --valid_freq 50 --is_save 1 --graph_prefix 'HRDE_LTC_SA' --use_glove 1 --dr 0.7 --dr_con 1.0 --memory_dr 0.8 --memory_dim 64 --topic_size 4