activity
20192023
most citedAn Empirical Study of Invariant Risk Minimization

21 citations · 80 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 5 cited

A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models

Hyunwoong Ko, Kichang Yang, Minho Ryu +5

Polyglot is a pioneering project aimed at enhancing the non-English language performance of multilingual language models. Despite the availability of various multilingual models su…

cs.CL2020★ 19 cited

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Kyubyong Park, Joohong Lee, Seongbo Jang +1

Typically, tokenization is the very first step in most text processing works. As a token serves as an atomic unit that embeds the contextual information of text, how to define a to…

cs.CL2020

KoParadigm: A Korean Conjugation Paradigm Generator

Kyubyong Park

Korean is a morphologically rich language. Korean verbs change their forms in a fickle manner depending on tense, mood, speech level, meaning, etc. Therefore, it is challenging to…

stat.ML2020★ 21 cited

An Empirical Study of Invariant Risk Minimization

Yo Joong Choe, Jiyeon Ham, Kyubyong Park

Invariant risk minimization (IRM) (Arjovsky et al., 2019) is a recently proposed framework designed for learning predictors that are invariant to spurious correlations across diffe…

cs.CL2020★ 17 cited

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

Jiyeon Ham, Yo Joong Choe, Kyubyong Park +2

Natural language inference (NLI) and semantic textual similarity (STS) are key tasks in natural language understanding (NLU). Although several benchmark datasets for those tasks ha…

cs.CL2020★ 1 cited

g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

Kyubyong Park, Seanie Lee

Conversion of Chinese graphemes to phonemes (G2P) is an essential component in Mandarin Chinese Text-To-Speech (TTS) systems. One of the biggest challenges in Chinese G2P conversio…

cs.CL2019

Jejueo Datasets for Machine Translation and Speech Synthesis

Kyubyong Park, Yo Joong Choe, Jiyeon Ham

Jejueo was classified as critically endangered by UNESCO in 2010. Although diverse efforts to revitalize it have been made, there have been few computational approaches. Motivated…

cs.CL2019★ 12 cited

word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs

Yo Joong Choe, Kyubyong Park, Dongwoo Kim

We present word2word, a publicly available dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora. Our dataset…

cs.CL2019

A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning

Yo Joong Choe, Jiyeon Ham, Kyubyong Park +1

Grammatical error correction can be viewed as a low-resource sequence-to-sequence task, because publicly available parallel corpora are limited. To tackle this challenge, we first…

cs.LG2019★ 5 cited

Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

Jaechang Lim, Seongok Ryu, Kyubyong Park +3

Accurate prediction of drug-target interaction (DTI) is essential for in silico drug design. For the purpose, we propose a novel approach for predicting DTI using a GNN that direct…

cs.CL2019

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Kyubyong Park, Thomas Mulc

We describe our development of CSS10, a collection of single speaker speech datasets for ten languages. It is composed of short audio clips from LibriVox audiobooks and their align…