https://github.com/sberbank-ai/ner-bert
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/sc782/pyJSMF-RAW
https://github.com/scakc/QAwiki
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
https://github.com/scotthlee/injury_autocoding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/scut-bds/example_repo_from_scutbds
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sdadas/polish-roberta
https://github.com/selmiss/gp-tlstgcn
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/semal/bert
https://github.com/sergeykramp/mthesis-bigbird-embeddings
https://github.com/seunghwan1228/ELMO
https://github.com/seunghwan1228/Transfomer-MachineTranslation
Scheduled DropHead: A Regularization Method for Transformer Models
https://github.com/sevvalckc/Turkish-SAD
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
https://github.com/sh0416/oommix
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
https://github.com/shagunsodhani/CNN-Sentence-Classifier
https://github.com/shaikhzhas/bert
https://github.com/shallinan1/CSE490_Final_Project
https://github.com/shamalwinchurkar/question-classification
https://github.com/shaneding/bilm-tf-experimentation
https://github.com/shangoma/Hate_Speech
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
https://github.com/shashank93jai/adversarial-sentence-generation
Natural Adversarial Sentence Generation with Gradient-based Perturbation
https://github.com/shawnyxiao/textclassification-keras
https://github.com/shelleyHLX/bilm_EMLo
https://github.com/shenweichen/GraphEmbedding
https://github.com/shenweichen/GraphNeuralNetwork
https://github.com/sherinaseri/bert
https://github.com/sherkhan15/distarctor-Detection_Eyes_Emotions_CI
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/shi27feng/transformers.satisfy
https://github.com/shining-spring/nvlda
https://github.com/shishir-roy/decaNLP-with-BERT
The Natural Language Decathlon: Multitask Learning as Question Answering
https://github.com/shivam360d/Sentiment-Analysis-ULMFit
Universal Language Model Fine-tuning for Text Classification
https://github.com/shivigup/Emotion-color-association-DNN
Investigating Emotion-Color Association in Deep Neural Networks
https://github.com/shizhediao/t-dna
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
https://github.com/shreyashankar/gpt3-sandbox
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sid7954/NLP-Toolkit
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
https://github.com/sigtyp/ST2024
The Natural Language Decathlon: Multitask Learning as Question Answering
https://github.com/simecek/Czech-ULMFiT
Universal Language Model Fine-tuning for Text Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.