Document Classification

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

State-of-the-art leaderboards

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 NODE CLASSIFICATION

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

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 LINK PREDICTION NODE CLASSIFICATION

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

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

ACL 2018 dinghanshen/SWEM

Many deep learning architectures have been proposed to model the compositionality in text sequences, requiring a substantial number of parameters and expensive computations.

DOCUMENT CLASSIFICATION NAMED ENTITY RECOGNITION SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS WORD EMBEDDINGS