snli_match_lstm_predict.py

[cxf712]

where did you use word2vector?Out-of-vocabulary words on the test corpus are set to fixed random vectors in the paper.but, in the"snli_match_lstm_predict.py",you use "print('Warning: {} not in dictionary'.format(w))" to handle the oov.why?

[junfenglx]

Hello @cxf712
The file snli_match_lstm_predict.py is just for prediction using trained match-lstm model,
you provide two sentences, it will give you a relationship between them.
The OOV words printed are words not in SNLI corpus.

When train match-lstm, we use Word2vec pre-trained model, and tune OOV words,
see README notes.