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
Cross-Lingual Document Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 10
- 보존된 평가 기록
- 41
Cross-lingual document classification refers to the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve classification tasks in another, commonly low-resource, language.
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/NVIDIA/Megatron-LM
공식 코드ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
https://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/ccsasuke/adan
공식 코드Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
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/epfml/Bi-Sent2Vec
공식 코드https://github.com/facebookresearch/LASER
공식 코드Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/facebookresearch/MLDoc
공식 코드A Corpus for Multilingual Document Classification in Eight Languages
https://github.com/gouwsmeister/bilbowa
공식 코드BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
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/laiguokun/xlu-data
공식 코드Bridging the domain gap in cross-lingual document classification
https://github.com/masakhane-io/masakhane-news
공식 코드MasakhaNEWS: News Topic Classification for African languages
https://github.com/microsoft/DeepSpeed
공식 코드ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
https://github.com/mrvoh/meta_learning_multilingual_doc_classification
공식 코드Multilingual and cross-lingual document classification: A meta-learning approach
https://github.com/ogh/binclusion
공식 코드Leveraging Monolingual Data for Crosslingual Compositional Word Representations
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.