https://github.com/lanwuwei/GigaBERT
공식 코드An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
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/leia-llm/leia
공식 코드https://github.com/lersouza/language-transfer
공식 코드https://github.com/lightchen233/gl-clef
공식 코드https://github.com/lxucs/multilingual-sl
공식 코드Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
https://github.com/machelreid/afromt
공식 코드AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
https://github.com/macleginn/exploring-clmd-divergences
공식 코드Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences
https://github.com/mainlp/convert-la-murrekorpus
공식 코드https://github.com/mainlp/convert-qcri-4dialects
공식 코드https://github.com/mainlp/convert-restaure-occitan
공식 코드https://github.com/mainlp/noisydialect
공식 코드https://github.com/mainlp/ud_norwegian-nynorsklia_dialect
공식 코드https://github.com/mainlp/wikidir
공식 코드Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
https://github.com/makeshn/lobef_byte_nmt
공식 코드https://github.com/manon-reusens/multilingual_bias
공식 코드Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
https://github.com/marvl-challenge/marvl-code
공식 코드https://github.com/masakhane-io/masakhane-ner/tree/main/MasakhaNER2.0
공식 코드MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
https://github.com/masakhane-io/masakhane-pos
공식 코드MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages
https://github.com/mbzuai-nlp/x-claim
공식 코드Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
https://github.com/mckysse/msd
공식 코드https://github.com/mdelhoneux/machamp-worst_case_acl
공식 코드Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
https://github.com/meryemmhamdi1/meta_cross_nlu_qa
공식 코드https://github.com/michael-beukman/nertransfer
공식 코드Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
https://github.com/microsoft/MetaXL
공식 코드MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
https://github.com/microsoft/Multilingual-Model-Transfer
공식 코드Multi-Source Cross-Lingual Model Transfer: Learning What to Share
https://github.com/microsoft/Unicoder
공식 코드Machine-Created Universal Language for Cross-lingual Transfer
https://github.com/microsoft/mmlmcalibration
공식 코드On the Calibration of Massively Multilingual Language Models
https://github.com/microsoft/taxixnli
공식 코드Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
https://github.com/microsoft/unilm
공식 코드XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
https://github.com/microsoft/vert-papers/tree/master/papers/AdvPicker
공식 코드AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
https://github.com/microsoft/vert-papers/tree/master/papers/Meta-Cross
공식 코드Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
https://github.com/microsoft/vert-papers/tree/master/papers/SingleMulti-TS
공식 코드https://github.com/microsoft/vert-papers/tree/master/papers/UniTrans
공식 코드https://github.com/mlieynua/sla-of-nlm
공식 코드https://github.com/mlrs/bertu
공식 코드https://github.com/mo-youssef/artelingo-28
공식 코드No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.