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Found 12 papers, 10 papers with code
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings
This resource is the largest offensive language corpus in Korean and is the first to offer target-specific ratings on a three-point Likert scale, enabling the detection of hate expressions in Korean across varying degrees of offensiveness.
A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models
This paper presents our work in developing the Polyglot Korean models, which propose some steps towards addressing the non-English language performance gap in multilingual language models.
An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks
Typically, tokenization is the very first step in most text processing works.
An Empirical Study of Invariant Risk Minimization
Invariant risk minimization (IRM) (Arjovsky et al., 2019) is a recently proposed framework designed for learning predictors that are invariant to spurious correlations across different training environments.
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
Although several benchmark datasets for those tasks have been released in English and a few other languages, there are no publicly available NLI or STS datasets in the Korean language.
Natural Language Inference
Natural Language Understanding
+2
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
Conversion of Chinese graphemes to phonemes (G2P) is an essential component in Mandarin Chinese Text-To-Speech (TTS) systems.
Ranked #2 on
Polyphone disambiguation
on CPP
word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
We wrap our dataset and model in an easy-to-use Python library, which supports downloading and retrieving top-k word translations in any of the supported language pairs as well as computing top-k word translations for custom parallel corpora.
Jejueo Datasets for Machine Translation and Speech Synthesis
Jejueo was classified as critically endangered by UNESCO in 2010.
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
The resulting parallel corpora are subsequently used to pre-train Transformer models.
Ranked #17 on
Grammatical Error Correction
on BEA-2019 (test)
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks
Accurate prediction of drug-target interaction (DTI) is essential for in silico drug design.
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
We describe our development of CSS10, a collection of single speaker speech datasets for ten languages.
