Wednesday, October 19, 2022

Wednesday, October 19, 2022 — 11:00 AM to 12:00 PM EDT

Please note: This PhD seminar will take place online.

Ankit Vadehra, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Pascal Poupart, Olga Vechtomova

The task of Grammar Error Correction (GEC) entails designing a system that is capable of performing text improvement and correcting semantic/syntax inconsistencies in a text span (sentence), while grammar error detection (GED) is used to classify whether a sentence is correct or not.

Wednesday, October 19, 2022 — 12:00 PM to 1:00 PM EDT

Please note: This PhD seminar will take place online.

Ji Xin, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jimmy Lin, Yaoliang Yu

Dense retrieval methods conduct text retrieval by first encoding texts in the embedding space and then matching them by nearest neighbor search. This requires strong locality properties from the representation space, e.g., close allocations of each small group of relevant texts, which are hard to generalize to domains without sufficient training data.

Wednesday, October 19, 2022 — 1:00 PM to 2:00 PM EDT

Please note: This PhD seminar will take place in DC 2310.

Kam Chuen (Alex) Tung, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

The classical Cheeger’s inequality relates the edge conductance of a graph and the second smallest eigenvalue of the Laplacian matrix. Recently, Olesker-Taylor and Zanetti discovered a Cheeger-type inequality connecting the vertex expansion of a graph and the maximum reweighted second smallest eigenvalue of the Laplacian matrix.

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