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Multi-Label Text Classification

7 papers with code · Methodology

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RMDL: Random Multimodel Deep Learning for Classification

3 May 2018kk7nc/RMDL

This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.

DOCUMENT CLASSIFICATION FACE RECOGNITION IMAGE CLASSIFICATION MULTI-LABEL TEXT CLASSIFICATION

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

ACL 2019 andyweizhao/capsule_text_classification

Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes.

MULTI-LABEL TEXT CLASSIFICATION QUESTION ANSWERING TEXT CLASSIFICATION

ML-Net: multi-label classification of biomedical texts with deep neural networks

13 Nov 2018ncbi-nlp/BLUE_Benchmark

Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems.

FEATURE ENGINEERING MULTI-LABEL CLASSIFICATION MULTI-LABEL CLASSIFICATION OF BIOMEDICAL TEXTS MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION

Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification

24 May 2019HX-idiot/Hybrid_Attention_XML

Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set.

MULTI-LABEL TEXT CLASSIFICATION TEXT CLASSIFICATION