Publications

Google Scholar Profile

2022

Latent Diffusion for Lanugage Generation
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Weinberger
Preprint, 2022.

A Framework For Adapting Pre-Trained Language Models to Knowledge Graph Completion
Justin Lovelace and Carolyn Rosé
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).

2021

Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining
Sopan Khosla, Justin Lovelace, Ritam Dutt, Adithya Pratapa
ACL-IJCNLP Workshop on Document-grounded Dialogue and Conversational QA (ACL-IJCNLP DialDoc 2021).

Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, and Carolyn Rosé
Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).

2020

Learning to Generate Clinically Coherent Chest X-Ray Reports
Justin Lovelace, Bobak Mortazavi
Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2020).

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
Machine Learning for Healthcare Conference (MLHC 2020).

Mining Dynamic Problem Lists from Clinical Notes for the Interpretable Prediction of Adverse Outcomes
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
ACM Conference on Health, Inference, and Learning Workshop (ACM CHIL Workshop 2020). (Oral Spotlight)

2019

Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
NeurIPS Machine Learning for Health Workshop (NeurIPS ML4H 2019) .

Undergraduate Honors Thesis

Predicting ICU Readmission with Clinical Notes (Outstanding Undergraduate Honors Thesis Award)