Document Classification

70 papers with code · Natural Language Processing
Subtask of Text Classification

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Greatest papers with code

Semi-Supervised Classification with Graph Convolutional Networks

9 Sep 2016tkipf/gcn

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.

DOCUMENT CLASSIFICATION GRAPH CLASSIFICATION GRAPH REGRESSION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

Revisiting Semi-Supervised Learning with Graph Embeddings

29 Mar 2016tkipf/gcn

We present a semi-supervised learning framework based on graph embeddings.

DOCUMENT CLASSIFICATION ENTITY EXTRACTION NODE CLASSIFICATION

Pre-Training with Whole Word Masking for Chinese BERT

19 Jun 2019ymcui/Chinese-BERT-wwm

In this technical report, we adapt whole word masking in Chinese text, that masking the whole word instead of masking Chinese characters, which could bring another challenge in Masked Language Model (MLM) pre-training task.

DOCUMENT CLASSIFICATION LANGUAGE MODELLING MACHINE READING COMPREHENSION NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE SENTIMENT ANALYSIS

DeepWalk: Online Learning of Social Representations

26 Mar 2014phanein/deepwalk

We present DeepWalk, a novel approach for learning latent representations of vertices in a network.

ANOMALY DETECTION DOCUMENT CLASSIFICATION LANGUAGE MODELLING NODE CLASSIFICATION

Improving Language Understanding by Generative Pre-Training

Preprint 2018 openai/finetune-transformer-lm

We demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific task.

DOCUMENT CLASSIFICATION LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY

Graph Attention Networks

ICLR 2018 PetarV-/GAT

We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.

DOCUMENT CLASSIFICATION GRAPH EMBEDDING GRAPH REGRESSION LINK PREDICTION NODE CLASSIFICATION SKELETON BASED ACTION RECOGNITION

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