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Text Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 16
평가표: 101
보존된 평가 기록: 341

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Text Classification

코드

https://github.com/menajosep/AleatoricSent

https://github.com/mhaseeb123/DeepMSim

https://github.com/mhjabreel/CharCNN

https://github.com/mhjabreel/CharCnn_Keras

https://github.com/mhw32/prototransformer-public

https://github.com/michael-wzhu/dynamic_routing_pytorch

https://github.com/microsoft/automated-explanations

https://github.com/microsoft/chunk-attention

https://github.com/microsoft/unilm/tree/master/layoutlm

https://github.com/midobal/OpenNMT-py

https://github.com/migrationsKB/MGKB

https://github.com/mim-solutions/bert_for_longer_texts

https://github.com/mim-solutions/roberta_for_longer_texts

https://github.com/mindspore-ai/models/tree/master/official/cv/deeptext

https://github.com/mindspore-ai/models/tree/master/official/gnn/gat

https://github.com/mindspore-ai/models/tree/master/official/nlp/bert

https://github.com/mindspore-ai/models/tree/master/official/nlp/bert_thor

https://github.com/mindspore-ai/models/tree/master/official/nlp/fasttext

https://github.com/mindspore-ai/models/tree/master/official/nlp/pangu_alpha

https://github.com/mindspore-ai/models/tree/master/official/nlp/textcnn

https://github.com/mindspore-ai/models/tree/master/research/nlp/hypertext

https://github.com/mindspore-courses/ABSA-MindSpore

https://github.com/mindspore-courses/DeepNLP-models-MindSpore

https://github.com/mindspore-courses/d2l-mindspore/tree/master/chapter_14_natural_language_processing_pretraining

https://github.com/mindspore-courses/d2l-mindspore/tree/master/chapter_15_natural_language_processing_applications

https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/bert/bert.py

https://github.com/mingdachen/bilm-tf

https://github.com/mipot101/GNM-Implementations

https://github.com/mirbostani/QA-KD-AL

https://github.com/mithunpaul08/bert_tensorflow

https://github.com/mitya8128/experiments_notes

https://github.com/mkavim/finetune_bert

https://github.com/mleimeister/document-image-classification

https://github.com/mlzxzhou/keras-gnm

https://github.com/moado/expression_recognition

https://github.com/mocherson/aki_bert