3 citations · 4 across the 6 of their papers we have counts for
7 papers · 1 filter
Multi-label Sequential Sentence Classification via Large Language Model
Mengfei Lan, Lecheng Zheng, Shufan Ming +1
Sequential sentence classification (SSC) in scientific publications is crucial for supporting downstream tasks such as fine-grained information retrieval and extractive summarizati…
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
Gibong Hong, Veronica Hindle, Nadine M. Veasley +2
Objective: To develop a corpus annotated for diet-microbiome associations from the biomedical literature and train natural language processing (NLP) models to identify these associ…
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
Mingchen Li, Halil Kilicoglu, Hua Xu +1
Large Language Models (LLMs) have swiftly emerged as vital resources for different applications in the biomedical and healthcare domains; however, these models encounter issues suc…
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions
Haoyang Liu, M. Janina Sarol, Halil Kilicoglu
We propose a cascade of neural models that performs sentence classification, phrase recognition, and triple extraction to automatically structure the scholarly contributions of NLP…
Drug Repurposing for COVID-19 via Knowledge Graph Completion
Rui Zhang, Dimitar Hristovski, Dalton Schutte +3
Objective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative…
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
Preventable adverse events as a result of medical errors present a growing concern in the healthcare system. As drug-drug interactions (DDIs) may lead to preventable adverse events…