Preethi Raghavan

According to our database, Preethi Raghavan authored at least 34 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra.

Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan

CoRR, 2024

Self-training Strategies for Sentiment Analysis: An Empirical Study.

Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Towards leveraging LLMs for Conditional QA.

Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, 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

Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding.

Parker Glenn, Parag Pravin Dakle, Preethi Raghavan

CoRR, 2023

HeySQuAD: A Spoken Question Answering Dataset.

Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan

CoRR, 2023

Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language.

Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2022

Understanding BLOOM: An empirical study on diverse NLP tasks.

Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan

CoRR, 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, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits

CoRR, 2022

Towards Generalizable Methods for Automating Risk Score Calculation.

Jennifer J. Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021

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, 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset.

Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Entity-Enriched Neural Models for Clinical Question Answering.

Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits

CoRR, 2020

Entity-Enriched Neural Models for Clinical Question Answering.

Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces.

So Yeon Min, Preethi Raghavan, Peter Szolovits

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Advancing Seq2seq with Joint Paraphrase Learning.

So Yeon Min, Preethi Raghavan, Peter Szolovits

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2018

Annotating Electronic Medical Records for Question Answering.

Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda

CoRR, 2018

emrQA: A Large Corpus for Question Answering on Electronic Medical Records.

Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Question Answering on Electronic Medical Records.

Preethi Raghavan, Siddharth Patwardhan

Proceedings of the Summit on Clinical Research Informatics, 2016

Watson Cognitive Computing for Electronic Medical Records.

Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan

Proceedings of the AMIA 2016, 2016

Addressing Limited Data for Textual Entailment Across Domains.

Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

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

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

Cross-narrative Temporal Ordering of Medical Events.

Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2012

Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features.

Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning.

Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, Albert M. Lai

Proceedings of the ACM International Health Informatics Symposium, 2012

Temporal Classification of Medical Events.

Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai

Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 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

Proceedings of the AMIA 2012, 2012

Learning to Temporally Order Medical Events in Clinical Text.

Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2010

Extracting Problem and Resolution Information from Online Discussion Forums.

Preethi Raghavan, Rose Catherine, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar

Proceedings of the 16th International Conference on Management of Data, 2010

Leveraging natural language processing of clinical narratives for phenotype modeling.

Preethi Raghavan, Albert M. Lai

Proceedings of the Third Ph.D. Workshop on Information and Knowledge Management, 2010

2009

A Framework for Improving Enterprise Services by Mining Customer Edge Data.

Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu

Proceedings of the 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 2009

2008

Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems.

Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008