Papers with Code 아카이브
Cross-Lingual NER
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Frustratingly Easy Label Projection for Cross-lingual Transfer
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Rethinking embedding coupling in pre-trained language models
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Zero-Resource Cross-Lingual Named Entity Recognition
Towards Lingua Franca Named Entity Recognition with BERT
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
Entity Projection via Machine Translation for Cross-Lingual NER
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.