Document Text Classification

5 papers with code • 4 benchmarks • 5 datasets

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Most implemented papers

Are These Birds Similar: Learning Branched Networks for Fine-grained Representations

nicolalandro/ntsnet-cub200 16 Jan 2020

In recent years, natural language descriptions are used to obtain information on discriminative parts of the object.

Light-Weighted CNN for Text Classification

RituYadav92/Lightweighted-CNN-for-Document-Classification 16 Apr 2020

As a solution to this problem, we introduced a whole new architecture based on separable convolution.

Linked Data Triples Enhance Document Relevance Classification

dineshnagumothu/relevanceClassification Applied Sciences 2021

These use an external corpus as a knowledge base that conditions the model to help predict what a document is about.