120 citations · 339 across the 10 of their papers we have counts for
10 papers
Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching
Geewook Kim, Wonseok Hwang, Minjoon Seo +1
Semi-structured query systems for document-oriented databases have many real applications. One particular application that we are interested in is matching each financial receipt i…
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim, Seunghyun Park, Jinkyu Kim +1
In general, an experimental environment for deep learning assumes that the training and the test dataset are sampled from the same distribution. However, in real-world situations,…
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha, Sanghyuk Chun, Kyungjae Lee +4
Domain generalization (DG) methods aim to achieve generalizability to an unseen target domain by using only training data from the source domains. Although a variety of DG methods…
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing
Wonseok Hwang, Jinyeong Yim, Seunghyun Park +1
Deep learning approaches to semantic parsing require a large amount of labeled data, but annotating complex logical forms is costly. Here, we propose Syntactic Question Abstraction…
Spatial Dependency Parsing for Semi-Structured Document Information Extraction
Wonseok Hwang, Jinyeong Yim, Seunghyun Park +2
Information Extraction (IE) for semi-structured document images is often approached as a sequence tagging problem by classifying each recognized input token into one of the IOB (In…
SquidLab -- a user-friendly program for background subtraction and fitting of magnetization data
Matthew J. Coak, Cheng Liu, David M. Jarvis +3
We present an open-source program free to download for academic use with full user-friendly graphical interface for performing flexible and robust background subtraction and dipole…
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information
Seonwoo Min, Seunghyun Park, Siwon Kim +3
Bridging the exponentially growing gap between the numbers of unlabeled and labeled protein sequences, several studies adopted semi-supervised learning for protein sequence modelin…
A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
Wonseok Hwang, Jinyeong Yim, Seunghyun Park +1
We present SQLova, the first Natural-language-to-SQL (NL2SQL) model to achieve human performance in WikiSQL dataset. We revisit and discuss diverse popular methods in NL2SQL litera…
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction
Seunghyun Park, Seonwoo Min, Hyunsoo Choi +1
Since microRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation, miRNA identification is one of the most essential problems in computational biology. miRNAs ar…
HiTRACE: High-throughput robust analysis for capillary electrophoresis
Sungroh Yoon, Jinkyu Kim, Justine Hum +4
Motivation: Capillary electrophoresis (CE) of nucleic acids is a workhorse technology underlying high-throughput genome analysis and large-scale chemical mapping for nucleic acid s…