A non-factoid question answering system for prior art search

Morteza Zihayat, Rochelle Etwaroo
January 2021

Abstract

This paper presents a non-factoid question answering system for prior art search, improving patent search and intellectual property research capabilities.

Type
Journal article
Publication
Expert Systems with Applications

This work introduces a specialized question answering system for prior art search in patent research.

Question Answering Prior Art Search Patent Research Non-Factoid QA Expert Systems
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.