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2004.06216
Cited By

Robustly Pre-trained Neural Model for Direct Temporal Relation
Extraction

Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction

IEEE International Conference on Healthcare Informatics (ICHI), 2020

13 April 2020

ArXiv (abs)PDF HTML

Papers citing "Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction"

4 / 4 papers shown

GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction

GDLLM: A Global Distance-aware Modeling Approach Based on Large Language Models for Event Temporal Relation Extraction

92

1

0

28 Aug 2025

Deeper Clinical Document Understanding Using Relation Extraction

Deeper Clinical Document Understanding Using Relation Extraction

168

21

0

25 Dec 2021

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Pre-trained Language Models in Biomedical Domain: A Systematic SurveyACM Computing Surveys (CSUR), 2021

462

209

0

11 Oct 2021

Clinical Temporal Relation Extraction with Probabilistic Soft Logic
Regularization and Global Inference

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceAAAI Conference on Artificial Intelligence (AAAI), 2020

252

49

0

16 Dec 2020