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Cross-Lingual
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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/s1998/progressivetraincodeswitch
공식 코드https://github.com/saattrupdan/scandeval
공식 코드ScandEval: A Benchmark for Scandinavian Natural Language Processing
https://github.com/salesforce/adversarial-polyglots
공식 코드Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
https://github.com/salesforce/fewxc
공식 코드Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
https://github.com/salesforce/mpt
공식 코드https://github.com/saltychtao/prealign
공식 코드PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
https://github.com/seyoungsong/classical-chinese-transfer
공식 코드When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and Kanbun
https://github.com/shaoyangxu/Multilingual-Human-Value-Concepts
공식 코드https://github.com/shijie-wu/crosslingual-nlp
공식 코드Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
https://github.com/shin285/KOMORAN
공식 코드Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
https://github.com/shuyanzhou/burn_xel
공식 코드https://github.com/shuyanzhou/pbel_plus
공식 코드Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
https://github.com/shyamupa/xelms
공식 코드Joint Multilingual Supervision for Cross-lingual Entity Linking
https://github.com/sjtu-compling/mela
공식 코드https://github.com/slab-nlp/linguistic-blood-bank
공식 코드A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
https://github.com/studio-ousia/luke
공식 코드mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
https://github.com/suamin/t2ner
공식 코드Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts
https://github.com/taichengguo/few-shot-newsrec
공식 코드https://github.com/tareknaous/readme
공식 코드ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
https://github.com/teffland/expected-statistic-regularization
공식 코드Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization
https://github.com/thespectrewithin/joint-align
공식 코드Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
https://github.com/thu-bpm/softmv
공식 코드Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
https://github.com/tian14267/ls_mbert
공식 코드Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer
https://github.com/tjunlp-lab/awesome-multilingual-llms-papers
공식 코드https://github.com/tomsherborne/tram_optimizer
공식 코드TRAM: Bridging Trust Regions and Sharpness Aware Minimization
https://github.com/tomsherborne/xgr
공식 코드https://github.com/tomsherborne/zx-parse
공식 코드https://github.com/tylerachang/multilingual-geometry
공식 코드https://github.com/uclanlp/CrossLingualDepParser
공식 코드On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
https://github.com/uclanlp/robust-xlt
공식 코드Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
https://github.com/uds-lsv/aadam
공식 코드https://github.com/uds-lsv/afro-maft
공식 코드Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
https://github.com/ukplab/naacl2024-fun
공식 코드https://github.com/umanlp/XWEAT
공식 코드Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
https://github.com/umanlp/multi2woz
공식 코드Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.