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Found 6 papers, 2 papers with code
The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts
User-generated texts include various types of stylistic properties, or noises.
KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines.
K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression
In many literary texts, emotions are indirectly conveyed through descriptions of actions, facial expressions, and appearances, necessitating emotion inference for narrative understanding.
Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data
The Manchu language, with its roots in the historical Manchurian region of Northeast China, is now facing a critical threat of extinction, as there are very few speakers left.
DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP
This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 13 distinct categories.
KR-BERT: A Small-Scale Korean-Specific Language Model
Since the appearance of BERT, recent works including XLNet and RoBERTa utilize sentence embedding models pre-trained by large corpora and a large number of parameters.
