Jennifer J Liang  Jennifer J Liang photo         

contact information

Medical Researcher
Thomas J. Watson Research Center, Yorktown Heights, NY USA



IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization
Diwakar Mahajan, Ching-Huei Tsou, Jennifer J Liang
Proceedings of the 20th Workshop on Biomedical Language Processing, pp. 302-310, Association for Computational Linguistics, 2021
Abstract   automatic summarization, natural language, correctness, transformer, natural language processing, consistency, task, process, computer science, impression, artificial intelligence

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
Preethi Raghavan, Jennifer J Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits
Proceedings of the 20th Workshop on Biomedical Language Processing, pp. 64--73, Association for Computational Linguistics, 2021

KAAPA: Knowledge Aware Answers from PDF Analysis
Nicolas Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil
Proceedings of the AAAI Conference on Artificial Intelligence 35(18), 16029-16031, 2021


Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou
arXiv preprint arXiv:2011.08835, 2020
Abstract   medication history, context, timeline, documentation, narrative, conceptual framework, event, psychotherapist, computer science, medication reconciliation, medication change

Timely and Efficient AI Insights on EHR: System Design
Parthasarathy Suryanarayanan, Edward A. Epstein, Abhishek Malvankar, Burn L. Lewis, Lou Degenaro, Jennifer J. Liang, Ching-Huei Tsou, Divya R. Pathak
AMIA ... Annual Symposium proceedings. AMIA Symposium, pp. 1180-1189, 2020
Abstract   analytics, documentation, systems architecture, medical record, data science, health care, medical history, systems design, computer science, scheduling

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
Diwakar Mahajan, Ananya Poddar, Jennifer J Liang, Yen-Ting Lin, John M Prager, Parthasarathy Suryanarayanan, Preethi Raghavan, Ching-Huei Tsou
JMIR Med Inform 8(11), e22508, 2020

Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive Models
Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J Liang, Parthasarathy Suryanarayanan
JMIR Med Inform 8(7), e18417, 2020


A Novel System for Extractive Clinical Note Summarization using EHR Data
Jennifer Liang, Ching-Huei Tsou, Ananya Poddar
Proceedings of the 2nd Clinical Natural Language Processing Workshop, pp. 46--54, Association for Computational Linguistics, 2019


emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari, Preethi Raghavan, Jennifer Liang, Jian Peng
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 2357--2368, Association for Computational Linguistics


Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned
Jennifer J. Liang, Ching-Huei Tsou, Murthy V. Devarakonda
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017, 203-212
Abstract   problem list, ground truth, vetting, cognitive load, task, natural language processing, computer science, quality, cognition, artificial intelligence, in patient

Automated Problem List Generation and Physicians Perspective from a Pilot Study
Devarakonda, Murthy V and Mehta, Neil and Tsou, Ching-Huei and Liang, Jennifer J and Nowacki, Amy S and Jelovsek, John Eric
International Journal of Medical Informatics, Elsevier, 2017

SemanticFind: Locating What You Want in a Patient Record, Not Just What You Ask For
J.M.Prager, J.J.Liang, M.V.Devarakonda
2017 AMIA Joint Summits on Translational Science


A Watson generated problem list: Restoring order to the EMR entropy?
Neil Mehta, John Eric Jelovsec, Julie Tibo, Murthy V Devarakonda, Ching-Huei Tsou, Jennifer L. Liang, Amy S. Nowacki
(Poster) Society of General Internal Medicine (SGIM) 2016 Annual Meeting


Toward Generating Domain-specific / Personalized Problem Lists from Electronic Medical Records
Ching-Huei Tsou, Murthy V. Devarakonda, Jennifer Liang
AAAI Fall Symposia, 2015


Watson-Aided Non-Linear Problem-Oriented Clinical Visit Preparation on Tablet Computer
Ruchikachorn, Puripant and Liang, Jennifer J and Devarakonda, Murthy and Mueller, Klaus
IEEE EHR VIS 2014 Workshop