Autores UPV
Elsayed Aya Allah Ali Abedelhamed,
Ahmed Ibrahem Hafez,
Raquel Ceprian,
Genis Martínez,
Granados Bañuls Alejandro,
Beatriz Soriano,
Llorens Carlos,
Sempere Luna José María
Abstract
: In this work, we describe the implementation of an infrastructure of conversational chatbots by using natural language processing and training within the Rasa framework. We use this
infrastructure to create a chatbot assistant for the users of a bioinformatics suite. This suite provides
a customized interface solution for omic pipelines and workflows, and it is named GPRO. The
infrastructure has also been used to build another chatbot for a Laboratory Information Management
System (LIMS). The two chatbots (namely, Genie and Abu) have been built on an open framework
that uses natural language understanding (NLU) and machine learning techniques to understand
user queries and respond to them. Users can seamlessly interact with the chatbot to receive support
on navigating the GPRO pipelines and workflows. The chatbot provides a bridge between users and
the wealth of bioinformatics knowledge available online.
