Comments (1)
We directly used the released dataset from sequential-matching-network (Wu et al., 2017), thus there is no preprocessing phase in our experiments.
We pre-train word-embeddings using a word2vec toolkit in c++, I can hardly find the script we used to pre-train word-embeddings, maybe the following command can help you:
./bin/word2vec -train $train_dat -output "$train_dat.w2v" -debug 2 -size 200 -window 10 -sample 1e-4 -negative 25 -hs 0 -binary 1 -cbow 1 -min-count 1
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Related Issues (20)
- Pickle Error
- Why use 3d CNN not 2d CNN in your paper? HOT 1
- In predicting time, do we need to compute all the sentence in the dataset? HOT 4
- 需要自己写数据预处理的代码? HOT 2
- 貌似build_batches方法会漏掉最后一批不足一batch的数据 HOT 1
- 有没尝试用过BERT的tokenizer方式? HOT 7
- 请问下多轮和单轮的兼容问题有什么好的策略吗? HOT 2
- Output response HOT 5
- evaluate question HOT 1
- Douban model save condition HOT 1
- tf.einsum('biks,bjks->bijs', t_a_r, r_a_t) HOT 3
- I would like to ask when <Multi-View Response Selection for Human-Computer Conversation>'s code will be released?~ HOT 1
- Where is CUDA_VISIBLE_DEVICES=0 ../attention_SMN/python/bin/python main.py? HOT 2
- The format of the input_example about "udc" task. HOT 1
- data.zip 无法下载 HOT 3
- 预处理的pkl文件 HOT 1
- 报错UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. HOT 1
- 论文下载问题
- The hardware requirement to run the model
- ValueError: (InvalidArgument) Broadcast dimension mismatch.
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