https://github.com/bplank/ijcnlp2017-customer-feedback
공식 코드ALL-IN-1: Short Text Classification with One Model for All Languages
Papers with Code 아카이브
Multilingual text classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cisnlp/xampler
공식 코드XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
https://github.com/eftekhar-hossain/CUET_NLP-EACL_2021
공식 코드https://github.com/gatenlp/peft_fft_multilingual
공식 코드https://github.com/goyalanil/PB-MVBoost
공식 코드Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
https://github.com/haroonshakeel/bilingual_sms_classification
공식 코드A Multi-cascaded Deep Model for Bilingual SMS Classification
https://github.com/harshp1802/text-dataset-distillation
공식 코드https://github.com/l3cube-pune/indic-nlp
공식 코드L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages
https://github.com/xiaoleihuang/domainfairness
공식 코드Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification
https://github.com/goyalanil/Multiview_Dataset_MNIST
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
https://github.com/king-menin/slavic-ner
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
https://github.com/mojave-pku/uniprompt
https://github.com/sberbank-ai/ner-bert
Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.