Risk of Confusion for Trademarks

An important legal task for which natural language processing has a use-case is for assessing the risk of confusion for trademarks. By means of a thorough understanding of factors which are used by legal professionals to make decisions in this domain, we replicate the process by using state-of-the-art deep learning models for natural language processing. Furthermore, we promote access to justice by enabling members of the general public to utilize this framework, with much simpler input requirements. In other words, our system has a strong foundation in trademark law, and is able to provide useful information to people looking to protect their intellectual property.

Faculty Supervisor:

Xiaodan Zhu;Samuel Dahan

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Queen's University

Program: