Jaemin Cho

AI Residency

NAVER Clova, Korea

Hello!

I do research on Natural Language Processing and Generative Models at NAVER Clova, advised by Minjoon Seo.

Before coming to NAVER, I was a Research Intern at SNU Vision and Learning Lab, advised by Gunhee Kim.

Interests

Sequence Modeling
Generative Model
Machine Learning

Education

BS. in Industrial Engineering, 2018

Seoul National University

Experience

July 2018 – Present

Seongnam, Korea

AI Residency

NAVER Clova

Submitted 1 paper (Under Review)

Working on

Natural Language Processing
Generative Model

Advisor

Minjoon Seo (NAVER Clova, U.Washington)

March 2017 – May 2018

Seoul, Korea

Research Internship

Vision and Learning Lab, SNU

Published 1 paper

Yookoon Park, Jaemin Cho, Gunhee Kim, A Hierarchical Latent Structure for Variational Conversation Modeling, NAACL 2018 (Oral)

Worked on

Conversation Modeling
Image Captioning
Generative Model
Uncertainty Estimation

Advisor

Gunhee Kim (SNU)

January 2017 – February 2017

Hong Kong

Research Internship

HKUST

Worked on

AST-based Python-Pseudocode Translation

Advisor

Sunghun Kim (NAVER Clova, HKUST)

August 2016 – December 2016

Seoul, Korea

NLP Researcher

DataNada

Developed

ADA, Chatbot for 8Percent, the first Chatbot in the FinTech industry in Korea
Korean Dependency Parser

Advisor

John Park

January 2015 – May 2015

Montreal, Canada

Research Internship

Polytechnique Montréal

Worked on

Mixed Integer Programming
Patient Classification
Nursing Assignment

Advisor

Nadia Lahrichi

Publications

A Hierarchical Latent Structure for Variational Conversation Modeling

Proposes VHCR: a hierarchical latent variable model which mitigates posterior collapse problem of Seq2Seq-VAE

Yookoon Park, Jaemin Cho, Gunhee Kim

NAACL-HLT (Oral), 2018

Preprint Code Video