https://github.com/Andrews2017/KINNEWS-and-KIRNEWS-Corpus
공식 코드KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
Papers with Code 아카이브
News Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/EmanueleLM/MCTS
공식 코드Assessing Robustness of Text Classification through Maximal Safe Radius Computation
https://github.com/MysteryVaibhav/fake_news_semantics
공식 코드https://github.com/TajaKuzman/IPTC-Media-Topic-Classification
공식 코드https://github.com/YF-W/Tri-GFN
공식 코드Tri-Learn Graph Fusion Network for Attributed Graph Clustering
https://github.com/alecokas/swahili-text-gcn
공식 코드https://github.com/alexeyev/kyrgyz-multi-label-topic-classification
공식 코드Benchmarking Multilabel Topic Classification in the Kyrgyz Language
https://github.com/billywzh717/n24news
공식 코드https://github.com/bkolosk1/kbnr
공식 코드Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
https://github.com/ciarabee/fake_news_classification
공식 코드Transforming Fake News: Robust Generalisable News Classification Using Transformers
https://github.com/epfl-ml4ed/interpretcc
공식 코드Intrinsic User-Centric Interpretability through Global Mixture of Experts
https://github.com/huaxiuyao/wild-time
공식 코드Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
https://github.com/hynky1999/czech-news-classification-dataset
공식 코드A Dataset and Strong Baselines for Classification of Czech News Texts
https://github.com/ibraheem-moosa/xlm-indic
공식 코드https://github.com/jinanzou/astock
공식 코드Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
https://github.com/kyle1668/llm-tta
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드BERT or FastText? A Comparative Analysis of Contextual as well as Non-Contextual Embeddings
https://github.com/masakhane-io/masakhane-news
공식 코드MasakhaNEWS: News Topic Classification for African languages
https://github.com/ruixinhua/batm
공식 코드https://github.com/s-nlp/multilingual-fake-news
공식 코드https://github.com/xyzacademic/mlp01example
공식 코드https://github.com/zake7749/WSDM-Cup-2019
공식 코드https://github.com/zero-one-loss/wordcnn01
공식 코드https://gitlab.com/boshko.koloski/codename_fn_b
공식 코드Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
https://github.com/ADCLab/RedditIdeologyDB
https://github.com/AI4Bharat/indic-bert
https://github.com/ARBML/tkseem
Evaluating Various Tokenizers for Arabic Text Classification
https://github.com/cair/PyTsetlinMachineCUDA
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/TsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineMT
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineParallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/ckinateder/pytsetlinmachineparallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/maroxtn/tun-sentiment
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
https://github.com/nourmorsy/PremioLLM
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models
https://github.com/ruixinhua/explainednrs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.