Jennifer J. Liang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 26

Top Topics

Medical Records

Event Extraction

Question Answering

Top Venues

BioNLP@NAACL-HLT

Publications

Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Özlem Uzuner
Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes. J. Biomed. Informatics 144 (2023)
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139 (2023)
Venkata Joopudi, Bharath Dandala, Ching-Huei Tsou, Jennifer J. Liang
Hierarchy-aware Adverse Reaction Embeddings for Signal Detection. AMIA (2022)
Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Learning to Ask Like a Physician. CoRR (2022)
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. CoRR (2022)
Jennifer J. Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits
Towards Generalizable Methods for Automating Risk Score Calculation. BioNLP@ACL (2022)
Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. AMIA (2021)
Diwakar Mahajan, Ching-Huei Tsou, Jennifer J. Liang
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization. BioNLP@NAACL-HLT (2021)
Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar, Venkata Joopudi, Diwakar Mahajan, John M. Prager, Preethi Raghavan, Michele Payne
Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. AMIA (2021)
Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. BioNLP@NAACL-HLT (2021)
Ching-Huei Tsou, Diwakar Mahajan, Jennifer J. Liang
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. AMIA (2021)
Jennifer J. Liang, Diwakar Mahajan
An Exploration of Reasons Behind Drug De-escalation and Discontinuation Events in Clinical Notes. AMIA (2021)
Nicolas R. 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
KAAPA: Knowledge Aware Answers from PDF Analysis. AAAI (2021)
Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA (2021)
Diwakar Mahajan, Jennifer J. Liang, Ananya Poddar, Sasha Ballen, Ching-Huei Tsou
Evaluating Social Determinants of Health in Clinical Communications Data. AMIA (2021)
Diwakar Mahajan, Jennifer J. Liang
Extracting Multi-Dimensional Context for Medication Change Events in Clinical Narratives. AMIA (2020)
Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. CoRR (2020)
Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang, Parthasarathy Suryanarayanan
Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models. AMIA (2020)
Parthasarathy Suryanarayanan, Edward A. Epstein, Abhishek Malvankar, Burn L. Lewis, Lou Degenaro, Jennifer J. Liang, Ching-Huei Tsou, Divya R. Pathak
Timely and Efficient AI Insights on EHR: System Design. AMIA (2020)
Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. CoRR (2020)
Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda
Annotating Electronic Medical Records for Question Answering. CoRR (2018)
Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. EMNLP (2018)
Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. CoRR (2018)
John M. Prager, Jennifer J. Liang, Murthy V. Devarakonda
SemanticFind: Locating What You Want in a Patient Record, Not Just What You Ask For. CRI (2017)
Jennifer J. Liang, Ching-Huei Tsou, Murthy V. Devarakonda
Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned. CRI (2017)
Murthy V. Devarakonda, Neil Mehta, Ching-Huei Tsou, Jennifer J. Liang, Amy S. Nowacki, John Eric Jelovsek
Automated problem list generation and physicians perspective from a pilot study. Int. J. Medical Informatics 105 (2017)
Ching-Huei Tsou, Murthy V. Devarakonda, Jennifer J. Liang
Toward Generating Domain-Specific / Personalized Problem Lists from Electronic Medical Records. AAAI Fall Symposia (2015)