Dmitriy Dligach

发表

Discovering Time Expressions in Clinical Text

Chen Lin, Steven Bethard, Sameer Pradhan, 2013, AMIA.

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

Steven Bethard, Guergana K. Savova, Timothy A. Miller, 2020, BIONLP.

A common type system for clinical natural language processing

Hongfang Liu, Stephen T. Wu, Christopher G. Chute, 2013, J. Biomed. Semant..

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, 2019, AMIA.

Feature Portability in Cross-domain Clinical Coreference

Chen Lin, Steven Bethard, Guergana K. Savova, 2016, AMIA.

Active Learning for Phenotyping Tasks

Dmitriy Dligach, Timothy A. Miller, Guergana Savova, 2013, RANLP.

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

Dmitriy Dligach, Brihat Sharma, Kristin Swope, 2020, BMC Medical Informatics and Decision Making.

Towards comprehensive syntactic and semantic annotations of the clinical narrative

Rodney D. Nielsen, Wayne H. Ward, James H. Martin, 2013, J. Am. Medical Informatics Assoc..

Towards generalizable entity-centric clinical coreference resolution

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, J. Biomed. Informatics.

Descending-Path Convolution Kernel for Syntactic Structures

Chen Lin, Steven Bethard, Sameer Pradhan, 2014, ACL.

Unsupervised Document Classification with Informed Topic Models

Guergana K. Savova, Timothy A. Miller, Dmitriy Dligach, 2016, BioNLP@ACL.

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

Dmitriy Dligach, Brihat Sharma, Ron Price, 2019, J. Am. Medical Informatics Assoc..

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

Martha Palmer, Dmitriy Dligach, Martha Palmer, 2011, ACL.

Two-stage Federated Phenotyping and Patient Representation Learning pdf

Dmitriy Dligach, Dianbo Liu, Timothy A. Miller, 2019, BioNLP@ACL.

Improving Word Sense Disambiguation with Automatically Retrieved Semantic Knowledge

Martha Palmer, Dmitriy Dligach, 2008, Int. J. Semantic Comput..

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

Martha Palmer, Sameer Pradhan, Dmitriy Dligach, 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).

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

Chen Lin, Joshua C. Denny, Guergana K. Savova, 2015, J. Am. Medical Informatics Assoc..

Discovering body site and severity modifiers in clinical texts

Guergana K. Savova, Timothy A. Miller, Dmitriy Dligach, 2013, AMIA.

To Annotate More Accurately or to Annotate More

Martha Palmer, Rodney D. Nielsen, Dmitriy Dligach, 2010, Linguistic Annotation Workshop.

Discovering Temporal Narrative Containers in Clinical Text

Chen Lin, Steven Bethard, Sameer Pradhan, 2013, BioNLP@ACL.

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

Martha Palmer, Dmitriy Dligach, Jinying Chen, 2007, International Conference on Semantic Computing (ICSC 2007).

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

Chen Lin, Steven Bethard, Guergana K. Savova, 2018, Louhi@EMNLP.

Pre-training phenotyping classifiers

Timothy A. Miller, Dmitriy Dligach, Majid Afshar, 2020, J. Biomed. Informatics.

Criteria for the Manual Grouping of Verb Senses

Martha Palmer, Jena D. Hwang, Dmitriy Dligach, 2007, LAW@ACL.

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports

Riccardo Bellazzi, Steven Bethard, Guergana K. Savova, 2017, AIME.

Extracting Time Expressions from Clinical Text

Chen Lin, Steven Bethard, Guergana K. Savova, 2015, BioNLP@IJCNLP.

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

Andrew Phillips, Richard Gonzalez, Dmitriy Dligach, 2019, J. Am. Medical Informatics Assoc..

Improving Temporal Relation Extraction with Training Instance Augmentation

Chen Lin, Steven Bethard, Guergana K. Savova, 2016, BioNLP@ACL.

Does BERT need domain adaptation for clinical negation detection?

Steven Bethard, Dmitriy Dligach, Farig Sadeque, 2020, J. Am. Medical Informatics Assoc..

High-performance word sense disambiguation with less manual effort

Martha Palmer, Dmitriy Dligach, Martha Palmer, 2010 .

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

Dmitriy Dligach, Cara Joyce, Ron Price, 2018, AMIA.

Learning Patient Representations from Text

Timothy A. Miller, Dmitriy Dligach, 2018, *SEM@NAACL-HLT.

Untapped Potential of Clinical Text for Opioid Surveillance

Abel N. Kho, Dmitriy Dligach, Tamás Gál, 2019, AMIA.

VerbNet Class Assignment as a WSD Task

Martha Palmer, Dmitriy Dligach, Susan Windisch Brown, 2011, IWCS.

Robust Sentence Segmentation for Clinical Text

Guergana K. Savova, Timothy A. Miller, Dmitriy Dligach, 2015, AMIA.

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

Chen Lin, Guergana K. Savova, Timothy A. Miller, 2013, AMIA.

Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge

Martha Palmer, Dmitriy Dligach, 2008, 2008 IEEE International Conference on Semantic Computing.

Discovering Narrative Containers in Clinical Text

Steven Bethard, Sameer Pradhan, Chen Lin, 2013 .

Multilayered temporal modeling for the clinical domain

Chen Lin, Steven Bethard, Guergana K. Savova, 2016, J. Am. Medical Informatics Assoc..

Semi-supervised Learning for Phenotyping Tasks

Guergana K. Savova, Timothy A. Miller, Dmitriy Dligach, 2015, AMIA.

Neural Temporal Relation Extraction

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, EACL.

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

Martha Palmer, Dmitriy Dligach, Jinying Chen, 2007 .

Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Cui Tao, Christopher G Chute, Timothy Miller, 2013, Journal of the American Medical Informatics Association : JAMIA.

SemEval-2010 Task 14: Word Sense Induction &Disambiguation

Suresh Manandhar, Sameer Pradhan, Dmitriy Dligach, 2010, SemEval@ACL.

Active Learning for Coreference Resolution

Guergana K. Savova, Timothy A. Miller, Dmitriy Dligach, 2012, BioNLP@HLT-NAACL.

Identification of Latent Subtypes of Patients with Opioid Misuse

Dmitriy Dligach, Majid Afshar, Brihat Sharma, 2019, AMIA.

Reducing the Need for Double Annotation

Martha Palmer, Dmitriy Dligach, Martha Palmer, 2011, Linguistic Annotation Workshop.

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

Chen Lin, Steven Bethard, Guergana K. Savova, 2017, BioNLP.

Generality and reuse in a common type system for clinical natural language processing

Hongfang Liu, Stephen T. Wu, Christopher G. Chute, 2011, MIXHS '11.

Using Language Modeling to Select Useful Annotation Data

Martha Palmer, Dmitriy Dligach, 2009, HLT-NAACL.

Novel Semantic Features for Verb Sense Disambiguation

Martha Palmer, Dmitriy Dligach, 2008, ACL.

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

Timothy Miller, Dmitriy Dligach, Majid Afshar, 2019, J. Am. Medical Informatics Assoc..

Defining and Learning Refined Temporal Relations in the Clinical Narrative

Martha Palmer, Steven Bethard, Chen Lin, 2020, LOUHI.

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

Timothy Miller, Steven Bethard, Dmitriy Dligach, 2021, BIONLP.

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

Dmitriy Dligach, Brihat Sharma, Majid Afshar, 2021, J. Am. Medical Informatics Assoc..

Classifying Long Clinical Documents with Pre-trained Transformers pdf

Timothy Miller, Dmitriy Dligach, Majid Afshar, 2021, ArXiv.

A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing pdf

Timothy Miller, Ozlem Uzuner, Dmitriy Dligach, 2021, J. Am. Medical Informatics Assoc..

Phenotypic Clusters Derived from Clinical Notes of Patients with Respiratory Failure

Dmitriy Dligach, Brihat Sharma, Majid Afshar, 2019, A103. CRITICAL CARE: AS YOU LIKE IT - ICU MANAGEMENT AND PROCESSES OF CARE.

Extracting Adverse Drug Event Information with Minimal Engineering

Timothy Miller, Dmitriy Dligach, Alon Geva, 2019, Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting.

Morphological Variables Associated With Ruptured Middle Cerebral Artery Aneurysms.

Tianxi Cai, Dmitriy Dligach, Sean Finan, 2018, Neurosurgery.

Large-scale identification of patients with cerebral aneurysms using natural language processing

Tianxi Cai, Scott T. Weiss, Dmitriy Dligach, 2016, Neurology.

A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction

Timothy Miller, Steven Bethard, Dmitriy Dligach, 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.