Research


About the Research category (1)
Modifying the gradients during training (3)
Looking for a master's thesis topic (6)
Improvement of performance by data normalization ( 2 ) (23)
Using numerical data as input for Encoder (4)
High Rank RNN model as Encoder or Decoder (2)
Opts.py files for the published papers (3)
Beam Search Global Scorer (1)
Combining BPE and sequence tagging (1)
About "A Deep Reinforced Model for Abstractive Summarization" (3)
Output is single word, repeated n times (4)
Why is it hard for bidirectional to learn to output input (4)
How to estimate number of iterations? (2)
Understanding the number of parameters (1)
Pre-Trained English-Korean NMT? (1)
Does CNNEncoder use kernel of (width, 1)? (1)
How to set the gradient clipping value (1)
Influence sentence's length on translate result (1)
Automatic post-edit training of a training (6)
Will pretrained embeddings also be updated during training? (3)
Input vectors can only be used for the source (2)
Use of OpenNMT for recognizing textual entailment (1)
Using OpenNMT for Information Retrieval (4)
ONNX - a standard for neural network representation (1)
Fast CPU decoding (1)
Multilingual source to English (1)
How to use BPE along with copying mechanism? (1)
How are the word embeddings learned during training? (4)
Basic example OpenNMT and Moses PT<>ES CA<>ES BLEU score results (2)
Sentence Embeddings for English (3)