Dmitriy Dligach

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 52

Top Topics

Natural Language

Convolution Kernel

Diagnostic Reasoning

Reference Resolution

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR (2024)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142 (2023)
Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL (2023)
Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR (2023)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR (2023)
Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova
End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138 (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC (2022)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING (2022)
Anoop Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA (2022)
Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA (2021)
Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. BioNLP@NAACL-HLT (2021)
Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR (2021)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Pre-training phenotyping classifiers. J. Biomed. Informatics 113 (2021)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR (2021)
Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA (2021)
Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam
Learning Patient Representations from Electronic Health Records across Diverse Data Types. AMIA (2020)
Chen Lin, Timothy A. Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. BioNLP (2020)
Kristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova
Defining and Learning Refined Temporal Relations in the Clinical Narrative. LOUHI@EMNLP (2020)
Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller
Does BERT need domain adaptation for clinical negation detection? J. Am. Medical Informatics Assoc. 27 (4) (2020)
Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach
Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA (2020)
Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA (2019)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Dmitriy Dligach, Majid Afshar, Timothy A. Miller
Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. AMIA (2019)
Dianbo Liu, Dmitriy Dligach, Timothy A. Miller
Two-stage Federated Phenotyping and Patient Representation Learning. CoRR (2019)
Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. J. Am. Medical Informatics Assoc. 26 (3) (2019)
Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Dianbo Liu, Dmitriy Dligach, Timothy A. Miller
Two-stage Federated Phenotyping and Patient Representation Learning. BioNLP@ACL (2019)
Amy L. Olex, Tamás Gál, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller
Untapped Potential of Clinical Text for Opioid Surveillance. AMIA (2019)
Dmitriy Dligach, Timothy A. Miller
Learning Patient Representations from Text. *SEM@NAACL-HLT (2018)
Chen Lin, Timothy A. Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, Guergana Savova
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. Louhi@EMNLP (2018)
Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA (2018)
Dmitriy Dligach, Timothy A. Miller
Learning Patient Representations from Text. CoRR (2018)
Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova
Towards generalizable entity-centric clinical coreference resolution. J. Biomed. Informatics 69 (2017)
Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP (2017)
Dmitriy Dligach, Timothy A. Miller, Chen Lin, Steven Bethard, Guergana Savova
Neural Temporal Relation Extraction. EACL (2) (2017)
Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME (2017)
Timothy A. Miller, Dmitriy Dligach, Guergana Savova
Unsupervised Document Classification with Informed Topic Models. BioNLP@ACL (2016)
Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, Guergana K. Savova
Multilayered temporal modeling for the clinical domain. J. Am. Medical Informatics Assoc. 23 (2) (2016)
Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova
Feature Portability in Cross-domain Clinical Coreference. AMIA (2016)
Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP@ACL (2016)
Dmitriy Dligach, Timothy A. Miller, Guergana Savova
Semi-supervised Learning for Phenotyping Tasks. AMIA (2015)
Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova
Extracting Time Expressions from Clinical Text. BioNLP@IJCNLP (2015)
Timothy A. Miller, Sean Finan, Dmitriy Dligach, Guergana Savova
Robust Sentence Segmentation for Clinical Text. AMIA (2015)
Chen Lin, Elizabeth W. Karlson, Dmitriy Dligach, Monica P. Ramirez, Timothy A. Miller, Huan Mo, Natalie S. Braggs, Andrew Cagan, Vivian S. Gainer, Joshua C. Denny, Guergana K. Savova
Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record. J. Am. Medical Informatics Assoc. 22 (e1) (2015)
Chen Lin, Timothy A. Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova
Descending-Path Convolution Kernel for Syntactic Structures. ACL (2) (2014)
Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy A. Miller, Guergana K. Savova
Discovering body site and severity modifiers in clinical texts. J. Am. Medical Informatics Assoc. 21 (3) (2014)
Dmitriy Dligach, Timothy A. Miller, Guergana Savova
Active Learning for Phenotyping Tasks. RANLP (Medicine and Biology) (2013)
Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova
Discovering Temporal Narrative Containers in Clinical Text. BioNLP@ACL (2013)
Chen Lin, Elizabeth W. Karlson, Helena Canhão, Timothy A. Miller, Dmitriy Dligach, Pei J. Chen, Raúl N. Pérez, Yuanyuan Shen, Michael E. Weinblatt, Nancy A. Shadick, Robert M. Plenge, Guergana Savova
Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records. AMIA (2013)
Stephen T. Wu, Vinod Kaggal, Dmitriy Dligach, James J. Masanz, Pei J. Chen, Lee Becker, Wendy Webber Chapman, Guergana K. Savova, Hongfang Liu, Christopher G. Chute
A common type system for clinical natural language processing. J. Biomed. Semant. 4 (2013)
Dmitriy Dligach, Timothy A. Miller, Guergana Savova
Discovering Body Site and Severity Modifiers in Clinical Texts. AMIA (2013)
Daniel Albright, Arrick Lanfranchi, Anwen Fredriksen, William F. Styler IV, Colin Warner, Jena D. Hwang, Jinho D. Choi, Dmitriy Dligach, Rodney D. Nielsen, James H. Martin, Wayne H. Ward, Martha Palmer, Guergana K. Savova
Towards comprehensive syntactic and semantic annotations of the clinical narrative. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova
Discovering Time Expressions in Clinical Text. AMIA (2013)
Timothy A. Miller, Dmitriy Dligach, Guergana Savova
Active Learning for Coreference Resolution. BioNLP@HLT-NAACL (2012)
Dmitriy Dligach, Martha Palmer
Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling. ACL (2) (2011)
Susan Windisch Brown, Dmitriy Dligach, Martha Palmer
VerbNet Class Assignment as a WSD Task. IWCS (2011)
Dmitriy Dligach, Martha Palmer
Reducing the Need for Double Annotation. Linguistic Annotation Workshop (2011)
Dmitriy Dligach, Rodney D. Nielsen, Martha Palmer
To Annotate More Accurately or to Annotate More. Linguistic Annotation Workshop (2010)
Suresh Manandhar, Ioannis P. Klapaftis, Dmitriy Dligach, Sameer Pradhan
SemEval-2010 Task 14: Word Sense Induction &Disambiguation. SemEval@ACL (2010)
Dmitriy Dligach, Martha Palmer
Using Language Modeling to Select Useful Annotation Data. HLT-NAACL (Student Research Workshop and Doctoral Consortium) (2009)
Dmitriy Dligach, Martha Palmer
Improving Word Sense Disambiguation with Automatically Retrieved Semantic Knowledge. Int. J. Semantic Comput. 2 (3) (2008)
Dmitriy Dligach, Martha Palmer
Novel Semantic Features for Verb Sense Disambiguation. ACL (2) (2008)
Dmitriy Dligach, Martha Palmer
Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge. ICSC (2008)
Sameer Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer
SemEval-2007 Task-17: English Lexical Sample, SRL and All Words. SemEval@ACL (2007)
Cecily Jill Duffield, Jena D. Hwang, Susan Windisch Brown, Dmitriy Dligach, Sarah Vieweg, Jenny Davis, Martha Palmer
Criteria for the Manual Grouping of Verb Senses. LAW@ACL (2007)
Jinying Chen, Dmitriy Dligach, Martha Palmer
Towards Large-scale High-Performance English Verb Sense Disambiguation by Using Linguistically Motivated Features. ICSC (2007)