https://github.com/LawrenceDuan/myLASER
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Papers with Code 아카이브
Zero-Shot Cross-Lingual Transfer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Mind23-2/MindCode-151
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
https://github.com/MorenoLaQuatra/bart-it
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-m
https://github.com/Tony4469/laser-agir
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/Unbabel/COMET
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/atreyasha/semantic-isometry-nmt
https://github.com/facebookresearch/data2vec_vision
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
https://github.com/facebookresearch/fairseq
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
https://github.com/facebookresearch/vizseq
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/google-research/byt5
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/google-research/xtreme
https://github.com/huggingface/transformers
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/imamathcat/LASER_Dependencies
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/jeongukjae/smaller-labse
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/jiamingkong/infoxlm_paddle
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/kmkwon94/ainize-laser
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/manshri/tesum
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/microsoft/unilm/tree/master/infoxlm
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
https://github.com/pasinit/xlwic-runs
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
https://github.com/prabhakar267/LASER-improved
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/pwc-1/Paper-5/tree/main/mt5
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/raymondhs/fairseq-laser
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/shin-ee-chen/bla
https://github.com/speech-lab-iitm/pada
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
https://github.com/stefan-it/fine-tuned-berts-seq
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
https://github.com/transducens/LASERtrain
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/yannvgn/laserembeddings
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/yuwfan/FILTER
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.