google / seq2seq

A general-purpose encoder-decoder framework for Tensorflow

Home Page:https://google.github.io/seq2seq/

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questions about the paper on arxiv

liangbright opened this issue · comments

"4 Experiments and Discussion
For the sake of brevity, we only report mean BLEU, standard deviation, highest BLEU in
parantheses, and model size in the following tables. Log perplexity, tokens/sec and convergence
times can be found in the supplementary material tables"

Q1: where are the supplementary material tables?


"Table 3: BLEU scores on newstest2013, varying the encoder and decoder depth and type of residual
connections "

Q2: what units are used? LSTM?
Q3: when evaluating an encoder (e.g. Enc-2), a decoder must be chosen. So, a 2D table should be used
each column indicates an encoder and each row indicates an decoder. Basically, this table in the paper is confusing.