about the code about ram

[lpq29743]

It happens when it processes the line which contains "...", you can simply add the conditional statement if len(content) != 301: continue or try modifying word2vec[word2id[content[0]]] = np.array(list(map(float, content[1:]))) to word2vec[word2id[content[:-300]]] = np.array(list(map(float, content[-300:])))

[Mahdilb]

Woww. Thanks a lot for your respond. I fixed it and it runs.
I think it is necessary to mention some other points in this project which may help other in future:

first of all, I replaced word2vec[word2id[content[0]]] = np.array(list(map(float, content[1:]))) with word2vec[word2id[content[:-300]]] = np.array(list(map(float, content[-300:]))), but another error appeared, it was about hashing error:

Loading pre-trained word vectors ...
Traceback (most recent call last):
File "main.py", line 47, in
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 38, in main
FLAGS.word2vec = load_word_embeddings(FLAGS.embedding_fname, FLAGS.embedding_dim, FLAGS.word2id)
File "/content/RAM/utils.py", line 160, in load_word_embeddings
word2vec[word2id[content[:-300]]] = np.array(list(map(float, content[-300:])))
TypeError: unhashable type: 'list'

then I use the other solution that you said. I mean using if len(content) != 301: continue in load word embeddings function in utils.py . finally it works but it pointed to another issue. the error was this:

Traceback (most recent call last):
File "main.py", line 47, in
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 38, in main
FLAGS.word2vec = load_word_embeddings(FLAGS.embedding_fname, FLAGS.embedding_dim, FLAGS.word2id)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/flags.py", line 88, in setattr
return self.dict['__wrapped'].setattr(name, value)
File "/usr/local/lib/python3.6/dist-packages/absl/flags/_flagvalues.py", line 499, in setattr
return self._set_unknown_flag(name, value)
File "/usr/local/lib/python3.6/dist-packages/absl/flags/_flagvalues.py", line 375, in _set_unknown_flag
raise _exceptions.UnrecognizedFlagError(name, value)
absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'word2vec'

but with your previous tip I fixed it by defining word2vec before main in main.py
tf.app.flags.DEFINE_string('word2vec', '', 'word to vec')

So i appreciate the time that you gave me and helped me in this. the paper and its performance is great. I want to delve deeper in this and find out is it possible to improve it or not?! if I get good result certainly i share it with you here. Again, Thanks a lot

[lpq29743]

I'm sorry that I haven't verified my modification. And I find the best way to correct the problem: just modify content = line.strip().split() to content = line.strip().split(' ')