Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. - Aman Kumar; Preethi Raghavan; Jay Ramanathan; Rajiv Ramnath (APSCC, 2008)

A Framework for Improving Enterprise Services by Mining Customer Edge Data. - Preethi Raghavan; Jay Ramanathan; Rajiv Ramnath; Zhe Xu (WETICE, 2009)

Leveraging natural language processing of clinical narratives for phenotype modeling. - Preethi Raghavan; Albert M. Lai (PIKM, 2010)

Extracting Problem and Resolution Information from Online Discussion Forums. - Preethi Raghavan; Rose Catherine; Shajith Ikbal; Nanda Kambhatla; Debapriyo Majumdar (COMAD, 2010)

Learning to Temporally Order Medical Events in Clinical Text. - Preethi Raghavan; Albert M. Lai; Eric Fosler-Lussier (ACL (2), 2012)

Inter-Annotator Reliability of Medical Events, Coreferences and Temporal Relations in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. - Preethi Raghavan; Eric Fosler-Lussier; Albert M. Lai (AMIA, 2012)

Temporal Classification of Medical Events. - Preethi Raghavan; Eric Fosler-Lussier; Albert M. Lai (BioNLP@HLT-NAACL, 2012)

Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning. - Preethi Raghavan; Eric Fosler-Lussier; Chris Brew; Albert M. Lai (IHI, 2012)

Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. - Preethi Raghavan; Eric Fosler-Lussier; Albert M. Lai (HLT-NAACL, 2012)

Cross-narrative Temporal Ordering of Medical Events. - Preethi Raghavan; Eric Fosler-Lussier; Noemie Elhadad; Albert M. Lai (ACL (1), 2014)

A review of approaches to identifying patient phenotype cohorts using electronic health records. - Chaitanya P. Shivade; Preethi Raghavan; Eric Fosler-Lussier; Peter J. Embí; Noémie Elhadad; Stephen B. Johnson; Albert M. Lai (J. Am. Medical Informatics Assoc., 2014)

How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? - Preethi Raghavan; James L. Chen; Eric Fosler-Lussier; Albert M. Lai (CoRR, 2015)

Addressing Limited Data for Textual Entailment Across Domains. - Chaitanya P. Shivade; Preethi Raghavan; Siddharth Patwardhan (ACL (1), 2016)

Watson Cognitive Computing for Electronic Medical Records. - Murthy V. Devarakonda; Neil Mehta; Christopher Nielson; Kenney Ng; Preethi Raghavan (AMIA, 2016)

Question Answering on Electronic Medical Records. - Preethi Raghavan; Siddharth Patwardhan (CRI, 2016)

emrQA: A Large Corpus for Question Answering on Electronic Medical Records. - Anusri Pampari; Preethi Raghavan; Jennifer J. Liang; Jian Peng 001 (EMNLP, 2018)

Annotating Electronic Medical Records for Question Answering. - Preethi Raghavan; Siddharth Patwardhan; Jennifer J. Liang; Murthy V. Devarakonda (CoRR, 2018)

Advancing Seq2seq with Joint Paraphrase Learning. - So Yeon Min; Preethi Raghavan; Peter Szolovits (ClinicalNLP@EMNLP, 2020)

TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. - So Yeon Min; Preethi Raghavan; Peter Szolovits (AKBC, 2020)

Entity-Enriched Neural Models for Clinical Question Answering. - Bhanu Pratap Singh Rawat; Wei-Hung Weng; So Yeon Min; Preethi Raghavan; Peter Szolovits (BioNLP, 2020)

Entity-Enriched Neural Models for Clinical Question Answering. - Bhanu Pratap Singh Rawat; Wei-Hung Weng; Preethi Raghavan; Peter Szolovits (CoRR, 2020)

emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. - Rachita Chandra; Preethi Raghavan; Jennifer J. Liang; Diwakar Mahajan; Peter Szolovits (AMIA, 2021)

Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. - Jennifer J. Liang; Ching-Huei Tsou; Bharath Dandala; Ananya Poddar; Venkata Joopudi; Diwakar Mahajan; John M. Prager; Preethi Raghavan; Michele Payne (AMIA, 2021)

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. - Preethi Raghavan; Jennifer J. Liang; Diwakar Mahajan; Rachita Chandra; Peter Szolovits (BioNLP@NAACL-HLT, 2021)

Towards Generalizable Methods for Automating Risk Score Calculation. - Jennifer J. Liang; Eric Lehman; Ananya Iyengar; Diwakar Mahajan; Preethi Raghavan; Cindy Y. Chang; Peter Szolovits (BioNLP@ACL, 2022)

Learning to Ask Like a Physician. - 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; et al. (CoRR, 2022)

Understanding BLOOM: An empirical study on diverse NLP tasks. - Parag Pravin Dakle; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2022)

HeySQuAD: A Spoken Question Answering Dataset. - Yijing Wu; SaiKrishna Rallabandi; Ravisutha Srinivasamurthy; Parag Pravin Dakle; Alolika Gon; Preethi Raghavan (CoRR, 2023)

Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. - Parker Glenn; Parag Pravin Dakle; Preethi Raghavan (CoRR, 2023)

An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. - Haochen Liu; SaiKrishna Rallabandi; Yijing Wu; Parag Pravin Dakle; Preethi Raghavan (CoRR, 2023)

Towards leveraging LLMs for Conditional QA. - Syed-Amad Hussain; Parag Pravin Dakle; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2023)

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. - Parker Glenn; Parag Dakle; Liang Wang; Preethi Raghavan (ACL (Findings), 2024)

Self-training Strategies for Sentiment Analysis: An Empirical Study. - Haochen Liu; SaiKrishna Rallabandi; Yijing Wu; Parag Dakle; Preethi Raghavan (EACL (Findings), 2024)

Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. - Parag Pravin Dakle; Alolika Gon; Sihan Zha; Liang Wang; SaiKrishna Rallabandi; Preethi Raghavan (CoRR, 2024)

Ner4Opt: named entity recognition for optimization modelling from natural language. - Serdar Kadioglu; Parag Pravin Dakle; Karthik Uppuluri; Regina Politi; Preethi Raghavan; SaiKrishna Rallabandi; Ravisutha Srinivasamurthy (Constraints An Int. J., 2024)

Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems. - Anushka Yadav; Sai Krishna Rallabandi; Parag Pravin Dakle; Preethi Raghavan (COLING Workshops, 2025)