BioRED: A Rich Biomedical Relation Extraction Dataset

BioRED: A Rich Biomedical Relation Extraction Dataset

8 April 2022

Papers citing "BioRED: A Rich Biomedical Relation Extraction Dataset"

10 / 10 papers shown

Title
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations Gibong Hong Veronica Hindle Nadine M. Veasley Hannah D. Holscher Halil Kilicoglu AI4CE 43 0 0 29 Sep 2024
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction William Hogan Jingbo Shang 13 0 0 31 May 2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences Hongyi Liu Qingyun Wang Payam Karisani Heng Ji 16 1 0 19 Jan 2024
CARE: Extracting Experimental Findings From Clinical Literature Aakanksha Naik Bailey Kuehl Erin Bransom Doug Downey Tom Hope 18 1 0 16 Nov 2023
Improving Summarization with Human Edits Zonghai Yao Benjamin J Schloss Sai P. Selvaraj 22 2 0 09 Oct 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023) Lea Demelius Hanh Thi Hong Tran Roman Kern Georgeta Bordea Andreas Trügler Antoine Doucet 13 3 0 28 Sep 2023
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Wenxuan Zhou Sheng Zhang Yu Gu Muhao Chen Hoifung Poon 22 59 0 07 Aug 2023
GRAFS: Graphical Faceted Search System to Support Conceptual Understanding in Exploratory Search Mengtian Guo Zhilan Zhou David Gotz Yue Wang 14 8 0 19 Feb 2023
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning Ling Luo Chih-Hsuan Wei Po-Ting Lai Robert Leaman Qingyu Chen Zhiyong Lu 13 29 0 30 Nov 2022
BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer Po-Ting Lai Zhiyong Lu MedIm 19 49 0 11 Jan 2021