Answering questions according a document by using machine reading comprehension techniques.

This proposed project aims to enable computers to read and understand a document and answer questions related to the documents by using Machine Reading Comprehension technology. In other words, the goal of the project is to equip computers with a similar reading comprehension ability as human beings. The technology can be used in many contexts, such as intelligent customer services, chat robots, and intelligent design decision making. The first step of this proposed project will be focused on the implementation and testing of a few popular machine reading comprehension models using existing open data sets. Afterwards, the developed models will be integrated with the question asking algorithms developed by Dr. Zeng’s design lab to support the Environment-Based Design methodology. The outcome of this project will become an integral part of the next generation CAD/E systems.

Faculty Supervisor:

Yong Zeng

Student:

Partner:

Southwest University of Science and Technology

Discipline:

Computer science

Sector:

Education

University:

Concordia University

Program: