Linguistic Acceptability
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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.
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rpuiggari/bert2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rybread1/stack-overflow-question-classification
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/s-nlp/russe_detox_2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/safakkbilici/Academic-Paper-Title-Recommendation
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/sagorbrur/bangla-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sagorbrur/codeswitch
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https://github.com/salesforce/codet5
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/samwisegamjeee/pytorch-transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/saravanakumarjsk/BERT-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/saurabhkulkarni77/BERT_multilabel
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/saurabhnlp/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sberbank-ai/ner-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/scotthlee/injury_autocoding
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https://github.com/scut-bds/example_repo_from_scutbds
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https://github.com/sdadas/polish-roberta
https://github.com/semal/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/semantic-web-company/ptlm_wsid
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/sergeykramp/mthesis-bigbird-embeddings
https://github.com/shaikhzhas/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sherinaseri/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/shivamraval98/multitask-t5_ae
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/shreyashankar/gpt3-sandbox
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/shunk031/huggingface-datasets_JGLUE
https://github.com/simon-benigeri/narrative-generation
https://github.com/siramatu/brigade-visualizer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/skoltech-nlp/rudetoxifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/skoltech-nlp/russe_detox_2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/smarton-empower/smarton-ai
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.