Papers with Code 아카이브
Linguistic Acceptability
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 5
- 보존된 평가 기록
- 63
Linguistic Acceptability is the task of determining whether a sentence is grammatical or ungrammatical.
Image Source: Warstadt et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindCode-4/code-3/tree/main/data2vec
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/MindCode-4/code-3/tree/main/deberta
https://github.com/MindCode-4/code-3/tree/main/deberta_v2
https://github.com/MindCode-4/code-3/tree/main/distilbert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/MindCode-4/code-5/tree/main/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/MindCode-4/code-5/tree/main/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/MindSpore-paper-code-2/code399/tree/main/Bert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/MindSpore-paper-code-3/code9/tree/main/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/MindSpore-paper-code-3/code9/tree/main/soft_masked_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/MindSpore-scientific/code-7/tree/main/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Misoknisky/Bert-MultiGpu
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/NathanDuran/Sentence-Encoding-for-DA-Classification
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/NehaTamore/TextSimilarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Nilanshrajput/Intent_classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Nimesh-Patel/BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Nimesh-Patel/text-to-text-transfer-transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/Nstats/bert_MRC
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Nstats/bert_senti_analysis_ch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Nstats/my_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Osobarako/alduswarrensewell
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/OweysMomenzada/Evergreen-Content-Classifier-for-german-Text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/albert/modeling.py
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/distilbert/modeling.py
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/roberta/modeling.py
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/few_shot/efl
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-1.0
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/bigbird
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/tinybert
TinyBERT: Distilling BERT for Natural Language Understanding
https://github.com/PaddlePaddle/models
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Priyanshiguptaaa/CoLA_Sentence_Classification_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ProsusAI/finBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Qordobacode/fitbert
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.