https://github.com/HuihuiChyan/BJTUNLP_Practice2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Papers with Code 아카이브
Common Sense Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 24
- 보존된 평가 기록
- 397
Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HuihuiChyan/BJTUNLP_Practice2021
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/IBM/MAX-Question-Answering
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/IBM/MAX-Text-Sentiment-Classifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/IBM/MAX-Toxic-Comment-Classifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/IMPLabUniPr/UniParma-at-semeval-2021-task-5
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/INK-USC/CommonGen
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
https://github.com/INK-USC/MHGRN
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
https://github.com/Impavidity/relogic
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/IndicoDataSolutions/finetune
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JA-Bar/nlp-depression
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JMSaindon/NlpSquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JNUpython/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JONGWE1/Paddle-DeBERTa
https://github.com/Jackma3/NER-Bert-BiLstm
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Jason-J-Choi/DeBERTa_TxtClassifier
https://github.com/JeheonPark596/sentimentsurvival
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JiachengLi1995/UCTopic
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
https://github.com/Jiaxin-Ye/DepMamba
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/JohannLee1996/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Jun-Zhang-32108/Sentiment-Analysis
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/JunnYu/x-transformers-paddle
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/KAGUYAHONGLAI/SRC
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/Kanishkparganiha/Named-Entity-Recognition-using-BERT-with-PyTorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Katsumata420/bert_mlm
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/KeithGalli/pycon2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Kerram/Deephol-Bert-Zpp
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Kevin-Vora/bert-embedding-gluonnlp-edit-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Ki6an/fastT5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/KnightZhang625/BERT_TF
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/KomorebiLHX/Emotion-Recognition-in-Conversations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/KoshiroSato/Flask_NLP_App
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/KoshiroSato/Simple_Transformers_mT5_finetuning
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/Kosuke-Szk/BERT-NER-ja
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/KyanChen/RSMamba
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.