https://github.com/dsfsi/puoberta
공식 코드PuoBERTa: Training and evaluation of a curated language model for Setswana
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Part of Speech Tagging
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PuoBERTa: Training and evaluation of a curated language model for Setswana
PuoBERTa: Training and evaluation of a curated language model for Setswana
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision
A Comparative Analysis of Static Word Embeddings for Hungarian
Automatic Scansion of Spanish Poetry without Syllabification
A Dataset and Strong Baselines for Classification of Czech News Texts
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
Conformal prediction for text infilling and part-of-speech prediction
Language-Agnostic Syllabification with Neural Sequence Labeling
Design Challenges and Misconceptions in Neural Sequence Labeling
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging
L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages
Technical Report: Impact of Position Bias on Language Models in Token Classification
Technical Report: Impact of Position Bias on Language Models in Token Classification
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.