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Found 7 papers, 5 papers with code
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding
Predicting the similarity score consists of two sub-tasks, which are monolingual similarity evaluation and multilingual sentence retrieval.
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
In this paper, we tackle the lack of image-text data in chest X-ray by expanding image-label pair as image-text pair via general prompt and utilizing multiple images and multiple sections in a radiologic report.
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
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 #14 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.
