Proper Noun
4 papers with code • 1 benchmarks • 1 datasets
Most implemented papers
Large-scale Bilingual Language-Image Contrastive Learning
This paper is a technical report to share our experience and findings building a Korean and English bilingual multimodal model.
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
Proper noun compounds, e. g., "Covid vaccine", convey information in a succinct manner (a "Covid vaccine" is a "vaccine that immunizes against the Covid disease").
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Multi-hop Knowledge Graph Question Answering (KGQA) is a task that involves retrieving nodes from a knowledge graph (KG) to answer natural language questions.
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
Semantic segmentation is essential in computer vision for various applications, yet traditional approaches face significant challenges, including the high cost of annotation and extensive training for supervised learning.