Winner: Undergraduate Top 3
Winner: Lyle (Undergraduate)
Abstract (click to view)
The Covid-19 Open Research Dataset is a growing resource of coronavirus research and scientific papers on Covid-19. CORD-19 is designed to facilitate the development of information retrieval systems through its collection of structured full-text papers. This study aims to contribute to the SMU AI Club's efforts to develop a search engine that parses through CORD-19 articles in order to extract relevant data about protein, compound, chemical information, and more. In the study, we describe the mechanics of dependency parsing, highlighting challenges and key design decisions, and discuss tools and upcoming shared tasks related to the search engine project. We hope this resource will introduce a new way to search for desired data related to Covid-19 and further bring together the computing and biomedical community on campus.
Fidelia Nawar
Major: Computer Science
Faculty Mentor: David (King Ip) Lin
I enjoyed your talk. I don’t think I ever thought about breaking down sentence structure in such a way. Are there certain structural patterns that are considered easier to understand than others? Just curious if we can apply this somehow to the way each of us writes.