https://github.com/mainlp/wikidir
공식 코드Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
MasakhaNEWS: News Topic Classification for African languages
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
Machine-Created Universal Language for Cross-lingual Transfer
On the Calibration of Massively Multilingual Language Models
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems
Multilingual and cross-lingual document classification: A meta-learning approach
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
Discovering Language-neutral Sub-networks in Multilingual Language Models
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.