Natural Language Processing for Teaching and Research in Engineering Education

Topic

• Natural Language Information Extraction

Grant

• Sponsor: National Science Foundation (NSF)
• Year: 2022
• Total: $299,647
• Share: $50,251

Objective

• Enhancing engineering education decision making by combining pretrained text embedding transformers with nonlinear dimension reduction to extract hidden structures in data.

Team

• PI: A. Katz, Co-PI: H. Eldardiry

Publications

[j1] A Reinforcement Learning Framework for N-ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, and H. Eldardiry
IEEE Transactions on Big Data 2024
Impact Factor 7.2

[i1] GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
C. Yuan and H. Eldardiry
arXiv.2310.04889 2023