https://github.com/DianDYu/language_embeddings
공식 코드Language Embeddings for Typology and Cross-lingual Transfer Learning
Papers with Code 아카이브
Cross-Lingual Natural Language Inference
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- 16
Using data and models available for one language for which ample such resources are available (e.g., English) to solve a natural language inference task in another, commonly more low-resource, language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HJZnlp/Faithful_XWikis
공식 코드Leveraging Entailment Judgements in Cross-Lingual Summarisation
https://github.com/PaddlePaddle/Paddle
공식 코드https://github.com/ai-forever/mgpt
공식 코드https://github.com/facebookresearch/InferSent
공식 코드Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/facebookresearch/LASER
공식 코드Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/facebookresearch/SentEval
공식 코드Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/georgevern/smala
공식 코드https://github.com/google-research/bert
공식 코드BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/google-research/byt5
공식 코드ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/juletx/self-translate
공식 코드https://github.com/machelreid/paradise
공식 코드PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
https://github.com/pytorch/fairseq/tree/master/examples/rxf
공식 코드https://github.com/thu-bpm/softmv
공식 코드Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
https://github.com/zanchangtong/csr4mbart
공식 코드https://github.com/1-punchMan/CLTS
https://github.com/1wy/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-11
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-12
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-150
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-1/ms-code-56
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/byt5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/2024-MindSpore-1/Code3/tree/main/scBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/2miatran/Natural-Language-Processing
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ABaldrati/MT-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AGiannoutsos/COVID19-document-retrieval-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AbhishekD15/Sentiment-Analysis_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AdamStein97/Semi-Supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AhmedYounes94/Semi-supervised-BERT-NER
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Fine-tuning-BERT-for-semantic-sentence-pairs-classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Alihassan7726/Multi-Class-classification-using-BERT-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AmanDaVinci/Universal-Sentence-Representations
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
https://github.com/Arthurizijar/Bert_Airport
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ArvinZhuang/BiTAG
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/AtmaHou/MetaDialog
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.