0
$\begingroup$

Deep Learning (DL) is now days are used in various fields. I may like to know any idea/approach on usin DL for Signature extraction from emails.

There are some papers which uses ML like
http://keg.cs.tsinghua.edu.cn/jietang/publications/f142-tang.pdf http://www.cs.cmu.edu/~vitor/papers/sigFilePaper_finalversion.pdf    there are few more.

There are some open source libraries in Python like talon which uses NLP (Regular expressions and other techniques) and uses ML algorithms ( SVM ) for the same.

I have done a little research but I am not getting any resource or any idea on how to proceed with DL for this task.
I thought of using seq2seq models but I am not sure it can be of much help for this task. I am not sure whether summarization techniques can be useful. Any idea or resources for the same can be helpful.

$\endgroup$
2
$\begingroup$

Detecting a signature in an email is more like a detection problem in an image rather than a natural language processing (NLP) problem. It does not particularly matter what the signature says, you simply want to be able to detect it.

In such a case, detection in images is currently dominated by convolutional neural networks (CNN). This is a very powerful technique which has proved to be the best for a multitude of image-based tasks. However, it requires a very large dataset. So you will need to collect a lot of varied examples and annotate them yourself.

The output of the CNN can provide either a binary output 0/1 determining if a signature exists. Or it can provide an output which is the coordinates of the center of the signature (X, Y coordinates) such that you can know where it is placed in the document.

$\endgroup$
0
0
$\begingroup$

In this problem, the signature in each email is related to the text that is before the signature that's why I would suggest using recurrent neural networks like LSTMs or GRUs especially if it's a classification task. You can also try the LSTM seq to seq model if your task is to output the signature.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.