remove redundant 400002

Author: james

README.md

@@ -15,7 +15,6 @@ Python 2.7
 
 ## Usage
 * Change the path in **slu\_preprocess.py** line 29 to your custom GloVe file path.
-* **Note that user should add a 200 dims 0.0 at the end of the GloVe file.**
 * `bash run.sh` will reproduce log files for every entry in table 1.
 * `python2.7 calculate.py` will calculate the average of log files for each entry in Table 1.
 

row_d/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_e/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_f/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_g/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_h/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_i/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_j/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_k/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()

row_l/slu_model.py

@@ -7,7 +7,7 @@ def __init__(self, max_seq_len, intent_dim):
         self.hidden_size = 128
         self.intent_dim = intent_dim # one hot encoding
         self.embedding_dim = 200 # read from glove
-        self.total_word = 400002 # total word embedding vectors
+        self.total_word = 400001 # total word embedding vectors
         self.max_seq_len = max_seq_len
         self.hist_len = 3
         self.add_variables()