The Conference for Machine Learning Innovation

Designing Conversational Chatbot for Digital Operators

Session
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos

The opportunity of empowering business by replacing human labor with machines without affecting customer satisfaction is attracting the community more and more nowadays. Even conversational agent concept is not new, the conversational agent (or specifically chatbot) development became a very hot topic in both the research and software development areas in the last decade with the advances in artificial intelligence. In this paper, we introduce the development and deployment of a Turkish chatbot in the telecom domain. We started with the general architecture and explained every component including Dialog Engine, Middleware, and the NLP/NLU unit. We explain the main architecture of the chatbot, the data collection and training steps for intent classification, and our evaluation strategy for calculating the performance. We propose two different approaches for intent classification, using conventional methodology and Transformers. We employed both ML algorithm Fasttext and the deep learning methods BERT and ELECTRA for the intent matching. We introduced novel evaluation parameters which may shed light on other commercial chatbot evaluations. WOur chatbot is deployed for a telecom company with more than $25M$ customers and $15M$ active mobile application users.

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks