Dmitriy Dligach
23 papers · 2007–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(15)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
📈
Trend Setter
🔥
Unstoppable · Silver
💎
Century Club · Bronze
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The Questioner
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Conference Pioneer
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Keyword Collector
(90)
Top co-authors
Research topics
Natural Language Processing
(13)
Machine Learning
(10)
Applications
(10)
Healthcare & Medicine
(9)
Clinical
(9)
Deep Learning
(8)
Learning Types · Machine Learning
(7)
Architectures
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Generation
(4)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Keywords
temporal relation extraction
(7)
electronic health record
(5)
clinical nlp
(4)
domain adaptation
(3)
named entity recognition
(3)
multi-task learning
(2)
relation classification
(2)
clinical language model
(2)
zero-shot learning
(2)
large language model
(2)
sequence-to-sequence model
(2)
clinical text
(2)
electronic medical record
(2)
natural language inference
(1)
attention mechanism
(1)
transfer learning
(1)
embedding learning
(1)
text classification
(1)
representation learning
(1)
sequence labeling
(1)
Papers
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
ACL 2026
Loyola at ArchEHR-QA 2025: Exploring Unsupervised Attribution of Generated Text: Attention and Clustering-Based Methods
ACL 2025
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
EMNLP 2024
End-to-end clinical temporal information extraction with multi-head attention
ACL 2023
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles
ACL 2023
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning
ACL 2023
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes
ACL 2023
Exploring Text Representations for Generative Temporal Relation Extraction
NAACL 2022
Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models
COLING 2022
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain
NAACL 2021
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction
ACL 2020
Defining and Learning Refined Temporal Relations in the Clinical Narrative
EMNLP 2020
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction
NAACL 2019
Extracting Adverse Drug Event Information with Minimal Engineering
NAACL 2019
Two-stage Federated Phenotyping and Patient Representation Learning
ACL 2019
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
EMNLP 2018
Neural Temporal Relation Extraction
EACL 2017
Descending-Path Convolution Kernel for Syntactic Structures
ACL 2014
Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling
ACL 2011
SemEval-2010 Task 14: Word Sense Induction &Disambiguation
SemEval 2010
Using Language Modeling to Select Useful Annotation Data
NAACL 2009
Novel Semantic Features for Verb Sense Disambiguation
ACL 2008
SemEval-2007 Task-17: English Lexical Sample, SRL and All Words
SemEval 2007