NLPExplorer

Dmitriy Dligach

Number of Papers:- 30

Number of Citations:- 113

First ACL Paper:- 2007

Latest ACL Paper:- 2024

Venues:-

NAACL

BioNLP

ClinicalNLP

COLING

Louhi

EMNLP

LREC

IWCS

ACL

EACL

LAW

*SEMEVAL

Co-Authors:-

Similar Authors:-

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? F i n d i n g s - E M N L P

Exploring Text Representations for Generative Temporal Relation Extraction ClinicalNLP NAACL

Dmitriy Dligach | Steven Bethard | Timothy Miller | Guergana Savova |

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

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

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

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

Defining and Learning Refined Temporal Relations in the Clinical Narrative EMNLP Louhi

Extracting Adverse Drug Event Information with Minimal Engineering NAACL WS

Timothy Miller | Alon Geva | Dmitriy Dligach |

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

Two-stage Federated Phenotyping and Patient Representation Learning ACL WS

Dianbo Liu | Dmitriy Dligach | Timothy Miller |

Learning Patient Representations from Text *SEMEVAL

Dmitriy Dligach | Timothy Miller |

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

Neural Temporal Relation Extraction EACL

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

Unsupervised Document Classification with Informed Topic Models BioNLP WS

Timothy Miller | Dmitriy Dligach | Guergana Savova |

Improving Temporal Relation Extraction with Training Instance Augmentation BioNLP WS

Extracting Time Expressions from Clinical Text BioNLP WS

Descending-Path Convolution Kernel for Syntactic Structures ACL

Discovering Temporal Narrative Containers in Clinical Text BioNLP WS

Active Learning for Phenotyping Tasks WS

Dmitriy Dligach | Timothy Miller | Guergana Savova |

Active Learning for Coreference Resolution BioNLP WS

Timothy Miller | Dmitriy Dligach | Guergana Savova |

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

Dmitriy Dligach | Martha Palmer |

VerbNet Class Assignment as a WSD Task IWCS WS

Susan Windisch Brown | Dmitriy Dligach | Martha Palmer |

Reducing the Need for Double Annotation LAW WS

Dmitriy Dligach | Martha Palmer |

SemEval-2010 Task 14: Word Sense Induction &Disambiguation *SEMEVAL

Suresh Manandhar | Ioannis Klapaftis | Dmitriy Dligach | Sameer Pradhan |

To Annotate More Accurately or to Annotate More LAW WS

Dmitriy Dligach | Rodney Nielsen | Martha Palmer |

Using Language Modeling to Select Useful Annotation Data NAACL

Dmitriy Dligach | Martha Palmer |

Novel Semantic Features for Verb Sense Disambiguation ACL

Dmitriy Dligach | Martha Palmer |

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

Sameer Pradhan | Edward Loper | Dmitriy Dligach | Martha Palmer |

Criteria for the Manual Grouping of Verb Senses LAW WS