2019-11-20: PURS 2020 Proposal Awarded to Support Undergraduate Research in Computer Science

I am delighted that my proposal entitled "Toward Knowledge Extraction: Finding Datasets, Methods, and Tools Adopted in Research Papers" is awarded under the Program for Undergraduate Research and Scholarship (PURS) by the Old Dominion University Perry Honors College Undergraduate Research Program, in cooperation with the ODU Office of Research.

With the increasing volumes of publications in all academic fields, researchers are under great pressure to read and digest research papers that deliver existing and new discoveries, even in niche domains. With the advancement of natural language processing (NLP) techniques in the last decade, it is possible to build frameworks to process free textual content to extract key facts (datasets, methods, and tools) from research papers. The goal of this project is to develop a machine learning framework to automatically extract datasets, methods, and tools from research papers in Computer and Information Science and Engineering (CISE) domains. The tools the proposed research will leverage include but not limited to information retrieval, NLP, machine learning, and deep learning techniques. The outcome will become the preliminary results towards a future proposal on building a knowledge base (KB) of research papers in open academic domains. The KB will benefit many research topics such as citation and expert recommendation, artificial tutors, and question-answer systems.

The project will hire a self-motivated undergraduate student in Computer Science or related fields to conduct research, under the supervision of Dr. Wu, assistant professor of Computer Science. The project will be conducted in the Spring, Summer, and Fall semesters through the calendar year of 2020.

Jian Wu