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/CyberZHG/keras-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DATEXIS/AMEGA-benchmark
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
https://github.com/DataScienceNigeria/ALBERT-for-Natural-Language-Processing
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/DataScienceNigeria/Supervised-NLP-from-Facebook-AI-Team
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DeligientSloth/QQsim
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DeligientSloth/bert-tensorflow
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DeokO/bert-excercise-ongoing
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DimasDMM/nlp-completer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DimasDMM/transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Doffery/BERT-Sentiment-Analysis-Amazon-Review
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Domminique/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Dongcf/Pytorch_Bert_Text_Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DylanCope/Image-Captioning-with-Bimodal-Transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Eeun-ju/NLP-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EightRice/atn_GPT-3
https://github.com/EleutherAI/gpt-neo
https://github.com/EleutherAI/lm-evaluation-harness
https://github.com/EleutherAI/lm_evaluation_harness
https://github.com/ElizaLo/Question-Answering-based-on-SQuAD
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EssayKillerBrain/NLP-BERT-Chinese
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EthanWYB/bert-classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EuphoriaYan/bert_component
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Farahn/AES
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/FaskyCC/TextClassification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/FengJiaChunFromSYSU/Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction
https://github.com/G-4-R-Y/Tweet-Sentiment-Extraction-roBERTa-5fold
https://github.com/Gaozhen0816/BERT_QA_For_AILaw
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Gaozhen0816/BERT_QA_for_Chinese
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/GauthierDmn/question_answering
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data
https://github.com/Guowei-Yan/Data
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/HaochenLiu2000/QAP
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/Hibb-bb/ALLM
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Holldean/BERT-Pruning
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.