Search Results for author: Gilchan Park

Found 8 papers, 3 papers with code

Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information

1 code implementation8 Mar 2024 Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo

On the other hand, machine learning methods to automate PPI knowledge extraction from the scientific literature have been limited by a shortage of appropriate annotated data.

Relation Relation Classification

Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences

no code implementations27 Sep 2023 Vanessa Lopez-Marrero, Patrick R. Johnstone, Gilchan Park, Xihaier Luo

One among several advantages of measure transport methods is that they allow for a unified framework for processing and analysis of data distributed according to a wide class of probability measures.

Density Estimation

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge

1 code implementation17 Jul 2023 Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Shinjae Yoo, Shantenu Jha

Understanding protein interactions and pathway knowledge is crucial for unraveling the complexities of living systems and investigating the underlying mechanisms of biological functions and complex diseases.

Figure Descriptive Text Extraction using Ontological Representation

no code implementations11 Aug 2022 Gilchan Park, Julia Rayz, Line Pouchard

Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results.

Descriptive Sentence +1

Towards Text-based Phishing Detection

no code implementations2 Nov 2021 Gilchan Park, Julia M. Taylor

This paper reports on an experiment into text-based phishing detection using readily available resources and without the use of semantics.

Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication

no code implementations22 Sep 2021 Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields

The result showed that there is evidence to distinguish the codes, and this is considered to be sufficient for training of human annotators.

Using Syntactic Features for Phishing Detection

no code implementations29 May 2015 Gilchan Park, Julia M. Taylor

The purpose of this research is to explore whether the syntactic structures and subjects and objects of verbs can be distinguishable features for phishing detection.

Object

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