Jee-Hyub Kim
5 SlideShares 15 Followers 55 Followings
Personal Information
Organization / Workplace
Cambridge, United Kingdom United Kingdom
Occupation
Senior Text-Mining Specialist at EMBL-EBI
Industry
Medical / Health Care / Pharmaceuticals
Website
orcid.org/0000-0002-0359-2887
About
I'm a leading text-mining engineer with various experience in NLP, information retreival, text classification, and information extraction. I have a strong background in learning IE rules from unlabelled corpora. Besides text-mining, I have a good knowledge of linking text-mined results to knowlege bases on RDF platforms. Currently, I'm interested in learning deep learning and applying it to NLP problems.
Contact Details
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text mining linked data machine learning data citation
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Presentations

(4)
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Europe PubMed Central and Linked Data

8 years ago • 744 Views

Scalable Text Mining

8 years ago • 303 Views

Literature Services Resource Description Framework

8 years ago • 301 Views

Learning to Extract Relations for Protein Annotation

7 years ago • 232 Views

Documents

(1)

Three hybrid classifiers for the detection of emotions in suicide notes

7 years ago • 149 Views

Likes

(100)
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Fjord Trends 2020: Emerging Trends in Business | Accenture

accenture • 4 years ago

Future Ready Enterprise Systems | Accenture

accenture • 4 years ago

Accenture Intelligent Patient Services

accenture • 6 years ago

CODE BLUE 2016 - Method of Detecting Vulnerability in Web Apps

Isao Takaesu • 7 years ago

CODE BLUE 2016 - Method of Detecting Vulnerability in Web Apps

Isao Takaesu • 7 years ago

Designing with algorithms

Michele Ide-Smith • 7 years ago

Open IE tutorial 2018

Andre Freitas • 5 years ago

Knowledge graph construction for research & medicine

Paul Groth • 6 years ago

In Vitro ADMET Considerations for Drug Discovery and Lead Generation

OSUCCC - James • 6 years ago

Chemistry and reactions from non-US patents

NextMove Software • 9 years ago

Matched molecular pair and activity cliffs published

Cresset • 10 years ago

Deploying deep learning models with Docker and Kubernetes

PetteriTeikariPhD • 7 years ago

Using multiple ontologies to characterise the bioactivity of small molecules

Janna Hastings • 12 years ago

Large Scale Text Processing

Suneel Marthi • 6 years ago

Developing Real-Time Data Pipelines with Apache Kafka

Joe Stein • 8 years ago

Introduction to Apache Airflow - Data Day Seattle 2016

Sid Anand • 7 years ago

Democratizing Data at Airbnb

Neo4j • 6 years ago

Continuous Integration

drluckyspin • 15 years ago

Airflow - An Open Source Platform to Author and Monitor Data Pipelines

DataWorks Summit • 8 years ago

Airflow - a data flow engine

Walter Liu • 8 years ago

Repositioning Old Drugs For New Indications Using Computational Approaches

Yannick Pouliot • 10 years ago

Nick Brown Drug Repositioning Informatics

Nick Brown • 12 years ago

Regularization

Darren Yow-Bang Wang • 7 years ago

From logistic regression to linear chain CRF

Darren Yow-Bang Wang • 7 years ago

From stream to recommendation using apache beam with cloud pubsub and cloud dataflow

Neville Li • 8 years ago

Google cloud big data summit master gcp big data summit la - 10-20-2015

Raj Babu • 8 years ago

Apache Beam: A unified model for batch and stream processing data

DataWorks Summit/Hadoop Summit • 7 years ago

Stories that persuade with data

Anita de Waard • 13 years ago

Building a real time, solr-powered recommendation engine

Trey Grainger • 11 years ago

TensorFrames: Google Tensorflow on Apache Spark

Databricks • 7 years ago
Personal Information
Organization / Workplace
Cambridge, United Kingdom United Kingdom
Occupation
Senior Text-Mining Specialist at EMBL-EBI
Industry
Medical / Health Care / Pharmaceuticals
Website
orcid.org/0000-0002-0359-2887
About
I'm a leading text-mining engineer with various experience in NLP, information retreival, text classification, and information extraction. I have a strong background in learning IE rules from unlabelled corpora. Besides text-mining, I have a good knowledge of linking text-mined results to knowlege bases on RDF platforms. Currently, I'm interested in learning deep learning and applying it to NLP problems.
Tags
text mining linked data machine learning data citation
See more