Preethi Raghavan

41 papers A* 1B 1C 2Misc 5Journal 16Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems. COLING Workshops Anushka Yadav, Sai Krishna Rallabandi, Parag Pravin Dakle, Preethi Raghavan
2024	—	`conf`	BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. ACL (Findings) Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan
2024	J	`jnl`	BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. CoRR Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan
2024	J	`jnl`	Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article using Transformer-based Models. CoRR Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, SaiKrishna Rallabandi, Preethi Raghavan
2024	J	`jnl`	Ner4Opt: named entity recognition for optimization modelling from natural language. Constraints An Int. J. Serdar Kadioglu, Parag Pravin Dakle, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy
2024	—	`conf`	Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan
2023	J	`jnl`	An Empirical Study on Instance Selection Strategies in Self-training for Sentiment Analysis. CoRR Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Pravin Dakle, Preethi Raghavan
2023	J	`jnl`	Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. CoRR Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
2023	J	`jnl`	HeySQuAD: A Spoken Question Answering Dataset. CoRR Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan
2023	B	`conf`	Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. CPAIOR Parag Pravin Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy
2023	J	`jnl`	Towards leveraging LLMs for Conditional QA. CoRR Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
2022	J	`jnl`	Learning to Ask Like a Physician. CoRR 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
2022	—	`conf`	Towards Generalizable Methods for Automating Risk Score Calculation. BioNLP@ACL Jennifer J. Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits
2022	J	`jnl`	Understanding BLOOM: An empirical study on diverse NLP tasks. CoRR Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
2021	Misc	`conf`	Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. AMIA Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar, Venkata Joopudi, Diwakar Mahajan, John M. Prager, Preethi Raghavan, Michele Payne
2021	—	`conf`	emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. BioNLP@NAACL-HLT Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits
2021	Misc	`conf`	emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits
2020	—	`conf`	Advancing Seq2seq with Joint Paraphrase Learning. ClinicalNLP@EMNLP So Yeon Min, Preethi Raghavan, Peter Szolovits
2020	—	`conf`	Entity-Enriched Neural Models for Clinical Question Answering. BioNLP Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits
2020	J	`jnl`	Entity-Enriched Neural Models for Clinical Question Answering. CoRR Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits
2020	—	`conf`	TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. AKBC So Yeon Min, Preethi Raghavan, Peter Szolovits
2020	J	`jnl`	TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. CoRR So Yeon Min, Preethi Raghavan, Peter Szolovits
2018	J	`jnl`	Annotating Electronic Medical Records for Question Answering. CoRR Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda
2018	A*	`conf`	emrQA: A Large Corpus for Question Answering on Electronic Medical Records. EMNLP Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
2018	J	`jnl`	emrQA: A Large Corpus for Question Answering on Electronic Medical Records. CoRR Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng
2016	—	`conf`	Addressing Limited Data for Textual Entailment Across Domains. ACL (1) Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan
2016	J	`jnl`	Addressing Limited Data for Textual Entailment Across Domains. CoRR Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan
2016	—	`conf`	Question Answering on Electronic Medical Records. CRI Preethi Raghavan, Siddharth Patwardhan
2016	Misc	`conf`	Watson Cognitive Computing for Electronic Medical Records. AMIA Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan
2015	J	`jnl`	How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? CoRR Preethi Raghavan, James L. Chen, Eric Fosler-Lussier, Albert M. Lai
2014	J	`jnl`	A review of approaches to identifying patient phenotype cohorts using electronic health records. J. Am. Medical Informatics Assoc. Chaitanya P. Shivade, Preethi Raghavan, Eric Fosler-Lussier, Peter J. Embí, Noémie Elhadad, Stephen B. Johnson, Albert M. Lai
2014	—	`conf`	Cross-narrative Temporal Ordering of Medical Events. ACL (1) Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai
2012	—	`conf`	Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. HLT-NAACL Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
2012	Misc	`conf`	Inter-Annotator Reliability of Medical Events, Coreferences and Temporal Relations in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. AMIA Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
2012	—	`conf`	Learning to Temporally Order Medical Events in Clinical Text. ACL (2) Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier
2012	—	`conf`	Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning. IHI Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, Albert M. Lai
2012	—	`conf`	Temporal Classification of Medical Events. BioNLP@HLT-NAACL Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai
2010	Misc	`conf`	Extracting Problem and Resolution Information from Online Discussion Forums. COMAD Preethi Raghavan, Rose Catherine, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar
2010	—	`conf`	Leveraging natural language processing of clinical narratives for phenotype modeling. PIKM Preethi Raghavan, Albert M. Lai
2009	C	`conf`	A Framework for Improving Enterprise Services by Mining Customer Edge Data. WETICE Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu
2008	C	`conf`	Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. APSCC Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath