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Preethi Raghavan
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2020 – today
- 2024
- [c24]Parker Glenn, Parag Dakle, Liang Wang, Preethi Raghavan:
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. ACL (Findings) 2024: 453-466 - [c23]Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan:
Self-training Strategies for Sentiment Analysis: An Empirical Study. EACL (Findings) 2024: 1944-1954 - [i14]Parker Glenn, Parag Pravin Dakle, Liang Wang, Preethi Raghavan:
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra. CoRR abs/2402.17882 (2024) - [i13]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 abs/2404.00386 (2024) - 2023
- [c22]Parag Pravin Dakle, Serdar Kadioglu
, Karthik Uppuluri
Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language. CPAIOR 2023: 299-319 - [i12]Yijing Wu, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Parag Pravin Dakle, Alolika Gon, Preethi Raghavan:
HeySQuAD: A Spoken Question Answering Dataset. CoRR abs/2304.13689 (2023) - [i11]Parker Glenn, Parag Pravin Dakle, Preethi Raghavan:
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding. CoRR abs/2305.19974 (2023) - [i10]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 abs/2309.08777 (2023) - [i9]Syed-Amad Hussain, Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan:
Towards leveraging LLMs for Conditional QA. CoRR abs/2312.01143 (2023) - 2022
- [c21]Jennifer J. Liang, Eric Lehman, Ananya Iyengar
Towards Generalizable Methods for Automating Risk Score Calculation. BioNLP@ACL 2022: 426-431 - [i8]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - [i7]Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan:
Understanding BLOOM: An empirical study on diverse NLP tasks. CoRR abs/2211.14865 (2022) - 2021
- [c20]Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits:
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA 2021 - [c19]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 - [c18]Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits:
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. BioNLP@NAACL-HLT 2021: 64-73 - 2020
- [c17]So Yeon Min, Preethi Raghavan, Peter Szolovits:
Advancing Seq2seq with Joint Paraphrase Learning. ClinicalNLP@EMNLP 2020: 269-279 - [c16]So Yeon Min, Preethi Raghavan, Peter Szolovits:
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. AKBC 2020 - [c15]Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits:
Entity-Enriched Neural Models for Clinical Question Answering. BioNLP 2020: 112-122 - [i6]Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits:
Entity-Enriched Neural Models for Clinical Question Answering. CoRR abs/2005.06587 (2020) - [i5]So Yeon Min, Preethi Raghavan, Peter Szolovits:
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces. CoRR abs/2007.00271 (2020)
2010 – 2019
- 2018
- [c14]Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. EMNLP 2018: 2357-2368 - [i4]Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda:
Annotating Electronic Medical Records for Question Answering. CoRR abs/1805.06816 (2018) - [i3]Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. CoRR abs/1809.00732 (2018) - 2016
- [c13]Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan:
Addressing Limited Data for Textual Entailment Across Domains. ACL (1) 2016 - [c12]Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan:
Watson Cognitive Computing for Electronic Medical Records. AMIA 2016 - [c11]Preethi Raghavan, Siddharth Patwardhan:
Question Answering on Electronic Medical Records. CRI 2016 - [i2]Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan:
Addressing Limited Data for Textual Entailment Across Domains. CoRR abs/1606.02638 (2016) - 2015
- [i1]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 abs/1502.04049 (2015) - 2014
- [j1]Chaitanya P. Shivade
A review of approaches to identifying patient phenotype cohorts using electronic health records. J. Am. Medical Informatics Assoc. 21(2): 221-230 (2014) - [c10]Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad, Albert M. Lai:
Cross-narrative Temporal Ordering of Medical Events. ACL (1) 2014: 998-1008 - 2012
- [c9]Preethi Raghavan, Albert M. Lai, Eric Fosler-Lussier:
Learning to Temporally Order Medical Events in Clinical Text. ACL (2) 2012: 70-74 - [c8]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 - [c7]Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai:
Temporal Classification of Medical Events. BioNLP@HLT-NAACL 2012: 29-37 - [c6]Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, Albert M. Lai
Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning. IHI 2012: 465-472 - [c5]Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai:
Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features. HLT-NAACL 2012: 731-741 - 2010
- [c4]Preethi Raghavan, Albert M. Lai
Leveraging natural language processing of clinical narratives for phenotype modeling. PIKM 2010: 57-66 - [c3]Preethi Raghavan, Rose Catherine, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar:
Extracting Problem and Resolution Information from Online Discussion Forums. COMAD 2010: 77
2000 – 2009
- 2009
- [c2]Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu:
A Framework for Improving Enterprise Services by Mining Customer Edge Data. WETICE 2009: 156-161 - 2008
- [c1]Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath:
Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. APSCC 2008: 303-309
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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