Zero-Shot Cross-Lingual Transfer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 27
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AIPHES/Language-Agnostic-Contextualized-Encoders
공식 코드https://github.com/CZWin32768/xnlg
공식 코드https://github.com/PaddlePaddle/ERNIE
공식 코드https://github.com/TartuNLP/xsim
공식 코드https://github.com/TurkuNLP/Multilingual-register-corpora
공식 코드https://github.com/WangYuxuan93/CLBT
공식 코드Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
https://github.com/adapter-hub/xgqa
공식 코드https://github.com/alanansell/bistil
공식 코드Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
https://github.com/andreeaiana/nase
공식 코드https://github.com/arijrb/multilingual-auxiliary-tasks-training-bridging-the-gap-between-languages-for-zero-shot-transfer-of-
공식 코드https://github.com/benjamin-mlr/first-align-then-predict
공식 코드First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
https://github.com/berniebear/Multi-HT100M
공식 코드Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
https://github.com/boleima/profit
공식 코드https://github.com/boleima/topro
공식 코드ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
https://github.com/cambridgeltl/adversarial-postspec
공식 코드Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
https://github.com/cambridgeltl/composable-sft
공식 코드https://github.com/cambridgeltl/parameter-factorization
공식 코드Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
https://github.com/cisnlp/mplm-sim
공식 코드mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
https://github.com/coastalcph/seq2sparql
공식 코드Compositional Generalization in Multilingual Semantic Parsing over Wikidata
https://github.com/copenlu/X-MAML
공식 코드https://github.com/dair-iitd/zgul
공식 코드https://github.com/deokhk/cbp
공식 코드https://github.com/duonglm38/codec
공식 코드https://github.com/e-bug/volta
공식 코드https://github.com/edchengg/gollie-transfusion
공식 코드Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
https://github.com/edchengg/model_selection
공식 코드https://github.com/ethanachi/multilingual-probing-visualization
공식 코드Finding Universal Grammatical Relations in Multilingual BERT
https://github.com/facebookresearch/LASER
공식 코드Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/fdschmidt93/ofa-xlt
공식 코드https://github.com/fe1ixxu/ZeroShot-CrossLing-Parsing
공식 코드Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
https://github.com/fe1ixxu/intra-distillation
공식 코드The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
https://github.com/ffaisal93/neg_inf
공식 코드An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models
https://github.com/fffffarmer/lsar
공식 코드Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
https://github.com/ghchen18/emnlp2021-sixt
공식 코드Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
https://github.com/google-research/multilingual-t5
공식 코드mT5: A massively multilingual pre-trained text-to-text transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.