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named-entity-recognition's Issues

problem with persistence.hpp during make

I had an issue during make.
here is the error
"/usr/local/include/opencv2/core/persistence.hpp:793:17: error: no matching
function for call to 'read'
read(**it, vec[i], _Tp());"

.....

"1 error generated.
make[2]: *** [CMakeFiles/NER.dir/src/weights_IO.cc.o] Error 1
make[1]: *** [CMakeFiles/NER.dir/all] Error 2
make: *** [all] Error 2"

did anyone else have a similar issue or know what is going on?

Compile issue during Make on Ubuntu

Hi,

when I come to do make on this I get the following error:

/usr/include/c++/4.8/bits/c++0x_warning.h:32:2: error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support is currently experimental, and must be enabled with the -std=c++11 or -std=gnu++11 compiler options.

My gcc compiler is up to date, not sure how to fix.

Any help would be appreciated

Dean

Segfault in save2txt

I'm trying to debug the segfault now and AFAIK it's happening when data.ATD(i,j) is being written to pOut in the save2txt method in weights_IO.cc.

So;

Next I'm going to try and figure out if it's because data.ATD(i,j) is null or there's a problem trying to write the file. AFAIK the file isn't being created, so theres that...

Train by new dataset

Hi Eric,
Thanks for your great work and docs.
I'd like to train your CNN by my data in Persian.
I formatted my data as you did on news_tagged_data.txt dataset with new tags like B-PERS, B-ORG, B-LOC ant etc. Then I made wordvecs.txt on my data used gensim and formatted my wordvecs.txt as you did.
I traind CNN successfully:

Test training data:
######################################

CNN - N-Gram test result. 4809 correct of 5235 total.

Accuracy is 0.918625

######################################
Test testing data:
######################################

CNN - N-Gram test result. 1076 correct of 1155 total.

Accuracy is 0.931602

######################################
######################################

CNN - Single word test result. 1294 correct of 1337 total.

Accuracy is 0.967838

######################################

but when I test my sentences using ./NER 4 I get wrong responses. Actually I get only "O" tags in response.

alich@Alich:~/named-entity-recognition$ ./NER 4
Type a query... (end with )
شهر رشت در کشور ایران قرار دارد و احمد میرهاشمی به آنجا سفر کرده
Successfully read network information from network/info_80.xml...
شهر : O
رشت : O
در : O
کشور : O
ایران : O
قرار : O
دارد : O
و : O
احمد : O
میرهاشمی : O
به : O
آنجا : O
سفر : O
کرده : O
Totally used time: 0.503745 second

would you please to help me?

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