https://bitbucket.org/antonis/grikoresource
공식 코드Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource
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/AIPHES/ACL20-Reference-Free-MT-Evaluation
공식 코드https://github.com/AIPHES/Language-Agnostic-Contextualized-Encoders
공식 코드https://github.com/Aditi138/EntityTargetedActiveLearning
공식 코드https://github.com/Aditi138/LASE-Agreement
공식 코드Automatic Extraction of Rules Governing Morphological Agreement
https://github.com/Andrews2017/KINNEWS-and-KIRNEWS-Corpus
공식 코드KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
https://github.com/CSJianYang/Multilingual-Multimodal-NLP/tree/main/MT4CrossOIE
공식 코드MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction
https://github.com/CZWin32768/xnlg
공식 코드https://github.com/D-Roberts/multilingual_nli_ECIR2021
공식 코드https://github.com/DMIRLAB-Group/SSD
공식 코드Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
https://github.com/DianDYu/language_embeddings
공식 코드Language Embeddings for Typology and Cross-lingual Transfer Learning
https://github.com/HKUST-KnowComp/cfet
공식 코드https://github.com/HLTCHKUST/BiToD
공식 코드BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling
https://github.com/InstituteforDiseaseModeling/Bridging-the-Gap-Low-Resource-African-Languages
공식 코드https://github.com/Kaleidophon/deep-significance
공식 코드An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
https://github.com/MaLA-LM/emma-500
공식 코드EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
https://github.com/McGill-NLP/latent-translation
공식 코드https://github.com/NJUNLP/Knowledge-Free-Reasoning
공식 코드Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
https://github.com/NavidRajabi/EMQA
공식 코드Towards More Equitable Question Answering Systems: How Much More Data Do You Need?
https://github.com/PaddlePaddle/ERNIE
공식 코드https://github.com/PortNLP/SHAP-MLLM-Analysis
공식 코드Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models
https://github.com/PragmaticsLab/CodeSwitchingAdversarial
공식 코드Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models
https://github.com/Pzoom522/HistSumm
공식 코드https://github.com/Pzoom522/L1-Refinement
공식 코드Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation
https://github.com/SamiaTouileb/Narabizi
공식 코드The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus
https://github.com/TadejSkvorc/MICE
공식 코드https://github.com/TartuNLP/xsim
공식 코드https://github.com/TokisakiKurumi2001/UniBridge
공식 코드UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
https://github.com/TurkuNLP/Multilingual-register-corpora
공식 코드https://github.com/UKPLab/arxiv2024-IRCoder
공식 코드IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
https://github.com/UKPLab/coling2018-xling_argument_mining
공식 코드Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
https://github.com/WangYuxuan93/CLBT
공식 코드Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
https://github.com/YuweiYin/CROP
공식 코드https://github.com/aaronmueller/contextualized-topic-models
공식 코드Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling
https://github.com/abteen/americasnli
공식 코드https://github.com/adapter-hub/unks_everywhere
공식 코드UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.