Comments (3)
Hi, lidra,
The reason why I used the tree structure is that I once place my research interests in the recursive model. This project hence supports tree-structured.
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Any other way to load our data without using tree structure?
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@omerarshad Sure, just simply load the raw text and tokenization by any tool, e.g., nltk, spacy or corenlp
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Related Issues (20)
- SST data process HOT 1
- question about config parameter "only_sentence" HOT 3
- Where is the trained model stored?
- How can I generate predictions for my non-SNLI dataset using SNLI-DiSAN model? HOT 1
- It seems that without a pretrained embedding input, the results become worse HOT 2
- The net seems use lstm HOT 2
- About the structure of the code HOT 1
- word embedding HOT 4
- Perplexity HOT 6
- experiments on MSRP HOT 3
- Word Embedding tune HOT 6
- tensorboard graph did not show anything HOT 1
- report error in line94 snli_main.py
- How to process new data? What should be the format of input file HOT 3
- what to do about the var rep_mask in the disan.py? HOT 10
- Can you take examples for the Fast-Disa.py?
- input to fast-disan.py
- SICK dataset
- Excuse me, where is the code for visual attention weight?
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