https://github.com/cstorm125/thai2fit
Universal Language Model Fine-tuning for Text Classification
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/cuber2460/bert
https://github.com/cuhksz-nlp/SAPar
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/cuhksz-nlp/het-mc
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cuhksz-nlp/mcasp
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/currentsapi/extractnet
https://github.com/currentsapi/fastlangid
https://github.com/currentslab/extractnet
https://github.com/cybermonic/cage-4-submission
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/cybertronai/megatron-lm
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cypressd1999/FYP_2021
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
https://github.com/d2klab/tomodapi
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
https://github.com/da-moon/classifiers-monorepo
https://github.com/dangitstam/topic-rnn
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
https://github.com/danielegrattarola/keras-gat
https://github.com/danlim-wz/analysis_of_social_media_data_about_singapore
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darnbi/pygcn
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/darr/nerbert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darr/nlp_work
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darsh10/HateXplain-Darsh
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
https://github.com/databrickslabs/dolly
RoFormer: Enhanced Transformer with Rotary Position Embedding
https://github.com/david-yoon/multimodal-speech-emotion
https://github.com/davidbellamy/labrador
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/davidjurgens/citation-function
https://github.com/davidpicard/homm
https://github.com/davidsvaughn/dts-tf
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dbiir/UER-py
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
https://github.com/dbmdz/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ddajing/multilayer-cnn-text-classification
https://github.com/debnsuma/AmazonSageMaker101
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/debnsuma/Intro-Transformer-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deep-spin/quati
https://github.com/deepakdhana/sentialbert1
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
https://github.com/deepchem/moleculenet
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/deepmind/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmipt/Slavic-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.