Dmitriy Dligach

According to our database, Dmitriy Dligach authored at least 75 papers between 2007 and 2024.

Collaborative distances:

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

2024

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

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

J. Am. Medical Informatics Assoc., 2024

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies.

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar

CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

CoRR, 2024

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

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

2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

J. Biomed. Informatics, June, 2023

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar

J. Biomed. Informatics, February, 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.

Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

CoRR, 2023

End-to-end clinical temporal information extraction with multi-head attention.

Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.

Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.

Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

A scoping review of publicly available language tasks in clinical natural language processing.

Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar

J. Am. Medical Informatics Assoc., 2022

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

CoRR, 2022

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text.

Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach

Proceedings of the AMIA 2022, 2022

2021

Pre-training phenotyping classifiers.

Dmitriy Dligach, Majid Afshar, Timothy A. Miller

J. Biomed. Informatics, 2021

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

J. Am. Medical Informatics Assoc., 2021

Classifying Long Clinical Documents with Pre-trained Transformers.

Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach

CoRR, 2021

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain.

Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.

Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar

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

A multi-label classifier to screen different types of substance misuse in hospitalized patients.

Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

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

2020

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar

BMC Medical Informatics Decis. Mak., 2020

Does BERT need domain adaptation for clinical negation detection?

Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller

J. Am. Medical Informatics Assoc., 2020

A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction.

Chen Lin, Timothy A. Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova

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

Learning Hierarchical Transformer-based Representations of Clinical Notes.

Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach

Proceedings of the AMIA 2020, 2020

Learning Patient Representations from Electronic Health Records across Diverse Data Types.

Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam

Proceedings of the AMIA 2020, 2020

Defining and Learning Refined Temporal Relations in the Clinical Narrative.

Kristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova

Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2019

Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Dmitriy Dligach, Majid Afshar, Timothy A. Miller

J. Am. Medical Informatics Assoc., 2019

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach

J. Am. Medical Informatics Assoc., 2019

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.

Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price

J. Am. Medical Informatics Assoc., 2019

Two-stage Federated Phenotyping and Patient Representation Learning.

Dianbo Liu, Dmitriy Dligach, Timothy A. Miller

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Identification of Latent Subtypes of Patients with Opioid Misuse.

Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce

Proceedings of the AMIA 2019, 2019

Untapped Potential of Clinical Text for Opioid Surveillance.

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

Proceedings of the AMIA 2019, 2019

Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse.

Dmitriy Dligach, Majid Afshar, Timothy A. Miller

Proceedings of the AMIA 2019, 2019

2018

Learning Patient Representations from Text.

Dmitriy Dligach, Timothy A. Miller

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach

Proceedings of the AMIA 2018, 2018

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction.

Chen Lin, Timothy A. Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, Guergana Savova

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017

Towards generalizable entity-centric clinical coreference resolution.

Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova

J. Biomed. Informatics, 2017

Neural Temporal Relation Extraction.

Dmitriy Dligach, Timothy A. Miller, Chen Lin, Steven Bethard, Guergana Savova

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks.

Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports.

Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

Multilayered temporal modeling for the clinical domain.

Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, Guergana K. Savova

J. Am. Medical Informatics Assoc., 2016

Unsupervised Document Classification with Informed Topic Models.

Timothy A. Miller, Dmitriy Dligach, Guergana Savova

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

Improving Temporal Relation Extraction with Training Instance Augmentation.

Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

Feature Portability in Cross-domain Clinical Coreference.

Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova

Proceedings of the AMIA 2016, 2016

2015

Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.

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

J. Am. Medical Informatics Assoc., 2015

Extracting Time Expressions from Clinical Text.

Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova

Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

Robust Sentence Segmentation for Clinical Text.

Timothy A. Miller, Sean Finan, Dmitriy Dligach, Guergana Savova

Proceedings of the AMIA 2015, 2015

Semi-supervised Learning for Phenotyping Tasks.

Dmitriy Dligach, Timothy A. Miller, Guergana Savova

Proceedings of the AMIA 2015, 2015

2014

Discovering body site and severity modifiers in clinical texts.

Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy A. Miller, Guergana K. Savova

J. Am. Medical Informatics Assoc., 2014

Descending-Path Convolution Kernel for Syntactic Structures.

Chen Lin, Timothy A. Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova

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

2013

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

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

J. Am. Medical Informatics Assoc., 2013

A common type system for clinical natural language processing.

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

J. Biomed. Semant., 2013

Active Learning for Phenotyping Tasks.

Dmitriy Dligach, Timothy A. Miller, Guergana Savova

Proceedings of the Workshop on NLP for Medicine and Biology associated with RANLP 2013, 2013

Discovering Temporal Narrative Containers in Clinical Text.

Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova

Proceedings of the 2013 Workshop on Biomedical Natural Language Processing, 2013

Discovering Time Expressions in Clinical Text.

Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova

Proceedings of the AMIA 2013, 2013

Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records.

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

Proceedings of the AMIA 2013, 2013

Discovering Body Site and Severity Modifiers in Clinical Texts.

Dmitriy Dligach, Timothy A. Miller, Guergana Savova

Proceedings of the AMIA 2013, 2013

2012

Active Learning for Coreference Resolution.

Timothy A. Miller, Dmitriy Dligach, Guergana Savova

Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

2011

VerbNet Class Assignment as a WSD Task.

Susan Windisch Brown, Dmitriy Dligach, Martha Palmer

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Reducing the Need for Double Annotation.

Dmitriy Dligach, Martha Palmer

Proceedings of the Fifth Linguistic Annotation Workshop, 2011

Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling.

Dmitriy Dligach, Martha Palmer

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

SemEval-2010 Task 14: Word Sense Induction &Disambiguation.

Suresh Manandhar, Ioannis P. Klapaftis, Dmitriy Dligach, Sameer Pradhan

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

To Annotate More Accurately or to Annotate More.

Dmitriy Dligach, Rodney D. Nielsen, Martha Palmer

Proceedings of the Fourth Linguistic Annotation Workshop, 2010

2009

Using Language Modeling to Select Useful Annotation Data.

Dmitriy Dligach, Martha Palmer

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008

Improving Word Sense Disambiguation with Automatically Retrieved Semantic Knowledge.

Dmitriy Dligach, Martha Palmer

Int. J. Semantic Comput., 2008

Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge.

Dmitriy Dligach, Martha Palmer

Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

Novel Semantic Features for Verb Sense Disambiguation.

Dmitriy Dligach, Martha Palmer

Proceedings of the ACL 2008, 2008

2007

SemEval-2007 Task-17: English Lexical Sample, SRL and All Words.

Sameer Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Towards Large-scale High-Performance English Verb Sense Disambiguation by Using Linguistically Motivated Features.

Jinying Chen, Dmitriy Dligach, Martha Palmer

Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Criteria for the Manual Grouping of Verb Senses.

Cecily Jill Duffield, Jena D. Hwang, Susan Windisch Brown, Dmitriy Dligach, Sarah Vieweg, Jenny Davis, Martha Palmer

Proceedings of the Linguistic Annotation Workshop, 2007