activity
20192022
most citedConstructing Hierarchical Q&A Datasets for Video Story Understanding

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

collaborators

5 papers

cs.CL20221 cited

Learning to Write with Coherence From Negative Examples

Seonil Son, Jaeseo Lim, Youwon Jang +2

Coherence is one of the critical factors that determine the quality of writing. We propose writing relevance (WR) training method for neural encoder-decoder natural language genera…

cs.LG2020

Human-Like Active Learning: Machines Simulating the Human Learning Process

Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang +1

Although the use of active learning to increase learners' engagement has recently been introduced in a variety of methods, empirical experiments are lacking. In this study, we atte…

cs.NE2019

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models

Sungjae Cho, Jaeseo Lim, Chris Hickey +2

The present study aims to investigate similarities between how humans and connectionist models experience difficulty in arithmetic problems. Problem difficulty was operationalized…

cs.AI20195 cited

Constructing Hierarchical Q&A Datasets for Video Story Understanding

Yu-Jung Heo, Kyoung-Woon On, Seongho Choi +5

Video understanding is emerging as a new paradigm for studying human-like AI. Question-and-Answering (Q&A) is used as a general benchmark to measure the level of intelligence for v…

cs.CV2019

Dual Attention Networks for Visual Reference Resolution in Visual Dialog

Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang

Visual dialog (VisDial) is a task which requires an AI agent to answer a series of questions grounded in an image. Unlike in visual question answering (VQA), the series of question…