Preethi Raghavan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Natural Language

Cognitive Computing

Question Answering

Top Venues

Publications

Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. ACL (Findings) (2024)
Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. CoRR (2024)
Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan
Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. CoRR (2024)
Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan
Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) (2024)
Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
Towards leveraging LLMs for Conditional QA. CoRR (2023)
Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan
HeySQuAD: A Spoken Question Answering Dataset. CoRR (2023)
Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. CoRR (2023)
Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy
Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. CPAIOR (2023)
Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan
An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR (2023)
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)
Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
Understanding BLOOM: An empirical study on diverse NLP tasks. 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)
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)
Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA (2021)
So Yeon Min, Preethi Raghavan, Peter Szolovits
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. CoRR (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. CoRR (2020)
So Yeon Min, Preethi Raghavan, Peter Szolovits
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. AKBC (2020)
So Yeon Min, Preethi Raghavan, Peter Szolovits
Advancing Seq2seq with Joint Paraphrase Learning. ClinicalNLP@EMNLP (2020)
Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits
Entity-Enriched Neural Models for Clinical Question Answering. BioNLP (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)
Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan
Watson Cognitive Computing for Electronic Medical Records. AMIA (2016)
Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan
Addressing Limited Data for Textual Entailment Across Domains. CoRR (2016)
Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan
Addressing Limited Data for Textual Entailment Across Domains. ACL (1) (2016)
Preethi Raghavan, Siddharth Patwardhan
Question Answering on Electronic Medical Records. CRI (2016)
Preethi Raghavan, James L. Chen, Eric Fosler-Lussier, Albert M. Lai
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? CoRR (2015)
Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai
Cross-narrative Temporal Ordering of Medical Events. ACL (1) (2014)
Chaitanya P. Shivade, Preethi Raghavan, Eric Fosler-Lussier, Peter J. Embí, Noémie Elhadad, Stephen B. Johnson, Albert M. Lai
A review of approaches to identifying patient phenotype cohorts using electronic health records. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. HLT-NAACL (2012)
Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier
Learning to Temporally Order Medical Events in Clinical Text. ACL (2) (2012)
Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, Albert M. Lai
Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning. IHI (2012)
Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
Temporal Classification of Medical Events. BioNLP@HLT-NAACL (2012)
Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
Inter-Annotator Reliability of Medical Events, Coreferences and Temporal Relations in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. AMIA (2012)
Preethi Raghavan, Rose Catherine, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar
Extracting Problem and Resolution Information from Online Discussion Forums. COMAD (2010)
Preethi Raghavan, Albert M. Lai
Leveraging natural language processing of clinical narratives for phenotype modeling. PIKM (2010)
Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu
A Framework for Improving Enterprise Services by Mining Customer Edge Data. WETICE (2009)
Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath
Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. APSCC (2008)