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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/ht1221/leap-lstm

https://github.com/https-seyhan/BugAI

https://github.com/huanghonggit/Mask-Language-Model

https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/HyperText

https://github.com/hufscapstone/Fast_text

https://github.com/huggingface/transformers

https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_squeezebert.py

https://github.com/huggingface/xlnet

https://github.com/i-benjelloun/text_emotions_detection

https://github.com/iMoonLab/DHGNN

https://github.com/ialifinaritra/text_summarization

https://github.com/iamarjunchandra/LayoutLM-Form-Understanding---Sequence-Labeling

https://github.com/ibm/vira-intent-discovery

https://github.com/ibrahimsharaf/doc2vec

https://github.com/icewing1996/bert_dep

https://github.com/idanmoradarthas/text-summarization

https://github.com/idc-dsi/Arapet

https://github.com/idiotprofessorchen/bert.github.io

https://github.com/iflytek/cino

https://github.com/ikarus-999/VDCNN_kor

https://github.com/ildoonet/unsupervised-data-augmentation

https://github.com/iliaschalkidis/ELMo-keras

https://github.com/ilimugur/short-text-classification

https://github.com/imamathcat/LASER_Dependencies

https://github.com/imgarylai/bert-embedding

https://github.com/imran3180/pytorch-nli

https://github.com/indix/whatthelang

https://github.com/inejc/paragraph-vectors

https://github.com/inspirehep/magpie

https://github.com/ioangatop/super_tml

https://github.com/is0383kk/Dirichlet_VAE

https://github.com/isotlaboratory/ml4vrp

https://github.com/itsShnik/adaptively-finetuning-transformers

https://github.com/itspreeti25/Q-A-implementation-using-BERT-finetuned-on-multiple-datasets

https://github.com/iwasakishuto/DeepScreening

https://github.com/jaaack-wang/linguistic-knowledge-in-DA-for-NLP