Document Text Classification
5 papers with code • 4 benchmarks • 5 datasets
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Subtasks
Most implemented papers
Are These Birds Similar: Learning Branched Networks for Fine-grained Representations
In recent years, natural language descriptions are used to obtain information on discriminative parts of the object.
Light-Weighted CNN for Text Classification
As a solution to this problem, we introduced a whole new architecture based on separable convolution.
Image and Text fusion for UPMC Food-101 \\using BERT and CNNs
The modern digital world is becoming more and more multimodal.
Linked Data Triples Enhance Document Relevance Classification
These use an external corpus as a knowledge base that conditions the model to help predict what a document is about.