Papers with Code 아카이브

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/butsugiri/shape

https://github.com/bzhangGo/lrn

https://github.com/bzz/LangID

https://github.com/cahya-wirawan/indonesian-language-models

https://github.com/cair/PyTsetlinMachineCUDA

https://github.com/cair/TsetlinMachine

https://github.com/cair/pyTsetlinMachine

https://github.com/cair/pyTsetlinMachineMT

https://github.com/cair/pyTsetlinMachineParallel

https://github.com/calciver/Graph-Attention-Networks

https://github.com/cardiffnlp/tweeteval

https://github.com/carpedm20/variational-text-tensorflow

https://github.com/castortroynz/desafio_atuacao19

https://github.com/cbaziotis/ntua-slp-semeval2018

https://github.com/cdpierse/transformers-interpret

https://github.com/cedrickchee/pytorch-pretrained-BERT

https://github.com/ceshine/textrank_summary_benchmark

https://github.com/chalothon/BERT_Practice

https://github.com/chambliss/Multilingual_NER

https://github.com/chandar-lab/healthy-data-diet

https://github.com/chandu7077/mybert

https://github.com/changji2069/Scope-Project

https://github.com/changji2069/literature-review

https://github.com/changminwu/expandergnn

https://github.com/charles9n/bert-sklearn

https://github.com/chen-xiong-yi/OwnBERT

https://github.com/cheng-Ye/daguan-competition-master

https://github.com/cheng18/bilm-tf

https://github.com/chengsen/pytorch_textgcn

https://github.com/chfhf/funnel-paddle

https://github.com/chiayewken/bert-qa

https://github.com/chicagohai/active-example-selection

https://github.com/chiemenz/AzureML-Sentiment-Classification-and-Model-Deployment

https://github.com/chiemenz/automl_vs_hyperdrive

https://github.com/chijames/gst

https://github.com/china-ai-law-challenge/CAIL