https://github.com/pwc-1/Paper-9/tree/main/2/mluke
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
Papers with Code 아카이브
Cross-Lingual
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Cross-lingual natural language processing is the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks 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/raymondhs/fairseq-laser
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/ruixinhua/explainednrs
https://github.com/sanderwood/clamp3
https://github.com/shin-ee-chen/bla
https://github.com/sigmorphon/2022inflectionst
https://github.com/soldni/pyterrier_sentence_transformers
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/somiltg/xquad
https://github.com/speech-lab-iitm/pada
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
https://github.com/stanleyjzheng/ignitionhacks
https://github.com/stefan-it/fine-tuned-berts-seq
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
https://github.com/thakur-nandan/income
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/thespectrewithin/joint_align
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
https://github.com/transducens/LASERtrain
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/uclanlp/0ShotCLTwithOD
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
https://github.com/ufal/multilexnorm2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/unicamp-dl/mMARCO
https://github.com/wbsg-uni-mannheim-students/cross-lingual-product-matching
https://github.com/xfactlab/emnlp2023-damaging-retrieval
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/yangyucheng000/University/tree/main/model-1/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/yangyucheng000/University/tree/main/model-3/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/yangyucheng000/papercode-2/tree/main/DOEmindspore-main
https://github.com/yannvgn/laserembeddings
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/yoreG123/Paddle-ByT5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/yuwfan/FILTER
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
https://github.com/zeyofu/EDL
Design Challenges in Low-resource Cross-lingual Entity Linking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.