Events Calendar

PhD Thesis Proposal - Wenzuan Zhou

PhD Candidate: Wenxuan Zhou

Title: Relation Extraction: Models, Robustness, and Generalization

Chair: Muhao Chen
Committee members: Laurent Itti, Jonathan May, Tianshu Sun, Robin Jia


Abstract: With large amounts of digital text generated every day, it is important to extract structured knowledge automatically from the text. Relation extraction (RE), as one essential step of the solution, aims at identifying relationships among entities in a given piece of text. In this thesis proposal, I will present my work during my Ph.D. on RE from three perspectives: (1) designing effective RE models based on pretrained language models; (2) Improving the robustness of RE models, especially against entity bias; and (3) building data-efficient RE models in low-resource scenarios, which is important for real-world applications. After these, I will introduce my ongoing work and future directions for RE.

WebCast Link: : https://usc.zoom.us/j/6915039300

Audiences: Everyone Is Invited

Contact: Lizsl De Leon