Named Entities Recognition for Customer Service Automated System

This project aims at creating a robust, efficient and reliable tool for Named Entities Recognition (NER) from vast amounts of textual data related to the customer service.
Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.
Moreover, those extracted named entities will be mapped to existing concepts of an ontology.
The development of such tool will enable easier and quicker decision-making in the customer service for the industrial partner.

Faculty Supervisor:

Fatiha Sadat

Student:

Partner:

Thales Canada Inc

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

Université du Québec à Montréal

Program: