https://github.com/mojave-pku/uniprompt
공식 코드Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Papers with Code 아카이브
Cross-Lingual Transfer
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Cross-lingual transfer refers to transfer learning 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/moncefbenaicha/spoken-ner
공식 코드Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems
https://github.com/mushfiqur11/tokenfreetransfer
공식 코드To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
https://github.com/mye1225/multilingual_content_mod
공식 코드https://github.com/negar-foroutan/multiLMs-lang-neutral-subnets
공식 코드Discovering Language-neutral Sub-networks in Multilingual Language Models
https://github.com/neulab/awesome-align
공식 코드Word Alignment by Fine-tuning Embeddings on Parallel Corpora
https://github.com/neulab/langrank
공식 코드https://github.com/nhhoang96/phonemic_xlingual
공식 코드Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
https://github.com/nikitacs16/xlift_dst
공식 코드Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
https://github.com/ningyuxu/cl-syntactic-difference-mbert
공식 코드https://github.com/nlp-chula/thai-coref
공식 코드https://github.com/nlpaueb/multi-eurlex
공식 코드https://github.com/nooralahzadeh/clg-vqa
공식 코드Improving the Cross-Lingual Generalisation in Visual Question Answering
https://github.com/ntunlp/Zero-Shot-Cross-Lingual-NER
공식 코드https://github.com/ntunlp/multisense_embedding_alignment
공식 코드Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
https://github.com/nutcrtnk/dhgnet
공식 코드Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
https://github.com/ofirarviv/ud-based-word-reordering
공식 코드Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering
https://github.com/ogaloglu/pre-training-multilingual-document-encoders
공식 코드https://github.com/ondfa/coref-multiling
공식 코드Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
https://github.com/openbmb/ultralink
공식 코드UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
https://github.com/oskarholmstrom/lang-adapters-impact
공식 코드The Impact of Language Adapters in Cross-Lingual Transfer for NLU
https://github.com/pefimov/cross-lingual-adjustment
공식 코드The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer
https://github.com/peter-yh-wu/cross-lingual
공식 코드Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
https://github.com/pluslabnlp/clap
공식 코드Contextual Label Projection for Cross-Lingual Structured Prediction
https://github.com/pluslabnlp/x-gear
공식 코드Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
https://github.com/pnborchert/flare
공식 코드Language Fusion for Parameter-Efficient Cross-lingual Transfer
https://github.com/portal-cornell/dial
공식 코드https://github.com/portnlp/mllms_performance
공식 코드https://github.com/posos-tech/multilingual-alignment-and-transfer
공식 코드Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
https://github.com/princeton-nlp/MultilingualAnalysis
공식 코드When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
https://github.com/princeton-nlp/align-mlm
공식 코드ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
https://github.com/psunlpgroup/xsemplr
공식 코드XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations
https://github.com/pytorch/fairseq/tree/main/examples/xglm
공식 코드https://github.com/qcznlp/greenplms
공식 코드GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
https://github.com/randyzhouran/conner
공식 코드ConNER: Consistency Training for Cross-lingual Named Entity Recognition
https://github.com/randyzhouran/melm
공식 코드MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.