Question and Answer System (IR) in Beta

My target is to build a system that can accept a story and then able to give the answer of the question against the story.
I have used gensim and tfidf to achieve this goal. Also used some text similarity matrix as well for the task. I have got a decent accuracy on this when question are straight forward. However the main challenge is related to the sentence boundary detection on which I am still working. Next I will use core nlp module to convert sentences to the answer format(this part I am still working)

You will find it here:
https://botfactory.in/watch-demo/nlp-comprehend-de…

Please give your suggestion how can I improve on this and what other thing I need to do. If you have any better approach pleas share.

Do post here your experience and let me know about the model.

Note: Make sentence boundary well defined using .(full stop) then you will get best results.

Have fun 🙂

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s