SUNIL KUMAR SAHU

> Hi, thanks for reporting this, > > Can you retry without EP and report back whether this improves the speed? In addition, I would encourage trying different TP/PP configurations...

Here, the first line is a sentence taken from discharge summary. Second and third line represent targeted entities appeared in the sentence with its positions (token wise) and entity types....

Hi I am on leave for few days, I will get back to you after 15 Jan. On 12-Jan-2017 11:11 AM, "ferasodh" wrote: > Hello, > > I was trying...

Dear Ferasodh, Thanks for your mail. To execute the program you need to run tmp.py file at the beginning. Please replace helper with utils in cnn_text.py file.. hope this will...

I haven't checked it .........but there is a method called stop_gradient() which will not calculate gradient for that. below links may be useful https://www.quora.com/How-do-I-use-stop_gradient-for-word_embedding-in-TensorFlow http://stackoverflow.com/questions/33727935/how-to-use-stop-gradient-in-tensorflow On Sun, Jan 22, 2017...

I didn't understand what you trying to ask. We created dataset from i2b2 2010 challenge. Considered sentences where more than two entities appeared. . train is just an extension you...

I wrote a Python code to extract all sentences in that manner. The kind of preprocessing we did was mentioned in paper. On 01-Feb-2017 11:41 PM, "sskaran" wrote: > Thank...

No that does not use word2vec tool. Tomorrow I will look that code and share to you, if it is with me. On 01-Feb-2017 11:51 PM, "sskaran" wrote: Does the...

PFA...This code seems to be used for extraction. On Wed, Feb 1, 2017 at 11:57 PM, sskaran wrote: > Thanks a lot! :) > looking forward to it. > >...

It is there in link..... PS: Sending you once again... On Thu, Feb 2, 2017 at 7:50 PM, sskaran wrote: > Sir, > There was no attachment in the mail...