Abstractified Multi-instance Learning (AMIL) for Biomedical Relation
Extraction

Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction

24 October 2021

Yannis Katsis

Tyler Baldwin

Yoshiki Vazquez Baeza

Chun-Nan Hsu

Papers citing "Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction"

7 / 7 papers shown

Title
Reduction of Supervision for Biomedical Knowledge Discovery Christos Theodoropoulos Andrei Catalin Coman James Henderson Marie-Francine Moens 37 0 0 13 Apr 2025
Enhancing Biomedical Knowledge Discovery for Diseases: An End-To-End Open-Source Framework Christos Theodoropoulos Andrei Catalin Coman James Henderson Marie-Francine Moens 51 1 0 18 Jul 2024
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER Sreyan Ghosh Utkarsh Tyagi Sonal Kumar Dinesh Manocha MedIm 54 10 0 18 May 2023
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies Xu-Xia Ai Ramakanth Kavuluru 32 5 0 03 Apr 2023
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods William Hogan 40 5 0 17 Jul 2022
Fine-grained Contrastive Learning for Relation Extraction William Hogan Jiacheng Li Jingbo Shang 47 11 0 25 May 2022
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction Saadullah Amin Pasquale Minervini David Chang Pontus Stenetorp G. Neumann 46 3 0 10 Apr 2022