Jay Yoon Lee

17 papers A* 5A 1B 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2025 B conf
Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss.
COLING
Gahyun Yoo, Jay Yoon Lee
2024 J jnl
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation.
CoRR
Gahyun Yoo, Jay Yoon Lee
2023 — conf
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation.
ACL (Findings)
Zhiyang Xu, Jay Yoon Lee, Lifu Huang
2022 A* conf
Structured Energy Network As a Loss.
NeurIPS
Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum
2021 — conf
Case-based Reasoning for Natural Language Queries over Knowledge Bases.
EMNLP (1)
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
2021 A conf
StructSum: Summarization via Structured Representations.
EACL
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2020 A* conf
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios.
AAAI
Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau
2020 J jnl
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.
CoRR
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2019 A* conf
Gradient-Based Inference for Networks with Output Constraints.
AAAI
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2018 A* conf
Towards Semi-Supervised Learning for Deep Semantic Role Labeling.
EMNLP
Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2018 J jnl
Towards Semi-Supervised Learning for Deep Semantic Role Labeling.
CoRR
Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell
2017 J jnl
Enforcing Constraints on Outputs with Unconstrained Inference.
CoRR
Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2017 — conf
Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation.
AKBC@NIPS
Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell
2014 — conf
Influence Propagation: Patterns, Model and a Case Study.
PAKDD (1)
Yibin Lin, Agha Ali Raza, Jay Yoon Lee, Danai Koutra, Roni Rosenfeld, Christos Faloutsos
2014 — conf
Net-Ray: Visualizing and Mining Billion-Scale Graphs.
PAKDD (1)
U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos
2013 A* conf
Detecting insider threats in a real corporate database of computer usage activity.
KDD
Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
2013 — conf
Fast anomaly detection despite the duplicates.
WWW (Companion Volume)
Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos