https://github.com/Tencent/TurboTransformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Text Classification
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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.
https://github.com/TheCyberian/androidMalwareDetectionWithNLP
https://github.com/TheCyberian/windowsMalwareDetectionWithNLP
https://github.com/TheNeuromancer/SentEmb
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/TheShadow29/subreddit-classification-dataset
Universal Language Model Fine-tuning for Text Classification
https://github.com/TheophileBlard/french-sentiment-analysis-with-bert
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
https://github.com/TiagoFilipeSousaGoncalves/survey-attention-medical-imaging
https://github.com/TidalPaladin/neural-summarizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Tixierae/deep_learning_NLP
https://github.com/Tixierae/gow_tools
Message Passing Attention Networks for Document Understanding
https://github.com/TobiasLee/Text-Classification
https://github.com/TommyJones/tidylda
A Coefficient of Determination for Probabilistic Topic Models
https://github.com/Tony4469/laser-agir
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/TonyX19/bert_hyperpartisan
https://github.com/TsingZ0/PFL-Non-IID
https://github.com/TyngJiunKuo/deep-learning-project
https://github.com/UKPLab/elmo-bilstm-cnn-crf
https://github.com/UKPLab/linspector-web
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
https://github.com/Unbabel/COMET
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/UniModal4Reasoning/StructEqTable-Deploy
https://github.com/UnknownGenie/altered-BERT-KPE
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Vakihito/SentimentYoutube
https://github.com/VinAIResearch/COVID19Tweet
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
https://github.com/Vladimetr/ASR-Knowledge-Transferring
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Vokturz/tsnmf-sparse
https://github.com/Walter-B/bert-20-classes
https://github.com/WantingZhao/my_GAT
https://github.com/Wattsy2020/closure_learning
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
https://github.com/WengLab-InformaticsResearch/UMLS-EDA
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/Wurmloch/TopicModeling
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
https://github.com/XINZXZHANG/Bert_repo
https://github.com/Xiaohao-Yang/LLM-ITL
Neural Topic Modeling with Large Language Models in the Loop
https://github.com/Xinsen-Zhang/transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Xue-Alex/sentiment-analysis
Naive Bayes and Text Classification I - Introduction and Theory
https://github.com/Y1ran/NLP-BERT--ChineseVersion
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/YC-wind/embedding_study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.