Name: Natural Language Processing / Information Extraction (NLP/IE) Program
Type: Organization
Bio: The Natural Language Processing / Information Extraction (NLP/IE) Program at the University of Minnesota Institute for Health Informatics
Location: Minneapolis, MN
Blog: https://healthinformatics.umn.edu/research/nlpie-group
Natural Language Processing / Information Extraction (NLP/IE) Program's Projects
The Amicus Metasystem for Interoperation and Combination of UIMA Systems
BioMedICUS: A biomedical and clinical NLP engine.
A simple python wsgi application using the Bottle framework to serve downloads while checking NLM UTS licenses for UMLS eligibility.
GPL licensed extensions for the BioMedICUS project.
A lightweight (small and dependency-free) Java 8 library for identifying and normalizing numbers and measurements in text.
Implementation of Rich Text Format (RTF) parsing from the Biomedicus text analysis system.
A lightweight (small and dependency-free) Java 8 library for Penn-like tokenization.
Code for the old version of BioMedICUS, for the new version see the biomedicus3 repository.
Apriori implementation to generate exhaustive set of boolean expressions.
UIMA CAS processing library written in Python
Collection of various notebooks
De-identification for co-occurrence models
MTAP: A framework for distributed text analysis using gRPC and microservices-based architecture.
Github pages Python API docs for nlpie/mtap.
Virtual machine that supports NLP workflow to generate and interrogate artifacts from various annotator systems.
Kubernetes cluster that supports NLP workflow to generate and interrogate artifacts from various annotator systems.
A framework for creating and evaluating NLP system ensembles
NLP-IE Group Organization Site
A system for integration and visualization of diverse biomedical NLP applications.
The NLP-TAB corpus is a collection of 120 UTF-8 plain text synthetic clinical notes. These notes are sourced from the MTSamples corpus, available in its entirety from www.mtsamples.com.
NLP-PIER front-end, controllers, services, APIs
Simple Flask REST API in docker container providing tokenization service