Debanjan Chaudhuri (Deep)

Output from the scores not right and also how to apply embeddings during testing

1

Hello Denny, Thanks for the great code. But, I have two issues/questions for the same. Firstly, in the text_cnn.py, you are taking the predictions from the matrix multiplication layer as:...

connecting to sap erp

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Hello, is there any option to connect to SAP ERP solutions using this bot?

Hello, how to extract both articles and headlines using article extractors like in new article I want to filter out the headline and corresponding article in a pair and store...

Need script for preprocessing

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Hi, could you please provide the pre-processing script? Would require that to extend to other datasets. thanks, Deep

Dear Author, Thanks a lot for the paper and the code. Is it possible to also share the codes used for the retrieval tasks to reproduce the results from table...

please add license information in the project

Hi, really useful stuff. Can you also provide some license information? Preferable Apache v2 or MIT

Error in the backward method

3

Hi, Can you please check this? Traceback (most recent call last): File "./pytorch_run.py", line 153, in train() File "./pytorch_run.py", line 93, in train loss.backward() # backprop File "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 167,...

Hey guys, great work! is it possible to get a pre-trained model? regards, Debanjan

Dear authors, great work on the paper. It is really interesting to use the graph models directly on the step files. In order to try out the retrieval zero-shot we...