activity
20192025
most citedA Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels

3 citations · 4 across the 6 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL20241 cited

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2021

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…

cs.CL2020

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…

cs.CL2019

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…