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Found 10 papers, 3 papers with code
ZiNet: Linking Chinese Characters Spanning Three Thousand Years
In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics.
Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding
One of the significant barriers to the training of statistical models on knowledge graphs is the difficulty that scientists have in finding the best input data to address their prediction goal.
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
To increase the adaptability of ACCID, we propose a splicing-based synthetic character algorithm to augment the training samples and apply an image denoising method to improve the image quality.
Recognizing Entity Types via Properties
Thus, the entity type (etype) recognition task is proposed to deal with such heterogeneity, aiming to infer the class of entities and etypes by exploiting the information encoded in ontologies.
Towards Ranking Schemas by Focus
The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their focus.
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition
Through representation learning, DNNs can map BFs into dense clusters in feature space, while the features of minority classes often show sparse clusters.
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results.
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
SENet aims to preserve the structural consistency of the character and normalize complex noise.
LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas
In this paper, we describe the LiveSchema initiative, namely a gateway that offers a family of services to easily access, analyze, transform and exploit knowledge graph schemas, with the main goal of facilitating the reuse of these resources in machine learning use cases.
RZCR: Zero-shot Character Recognition via Radical-based Reasoning
The long-tail effect is a common issue that limits the performance of deep learning models on real-world datasets.
