TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition.
Yichun ZhaoJintao DuGongshen LiuHuijia ZhuPublished in: EMNLP (Findings) (2022)
Keyphrases
- named entity recognition
- cross lingual
- machine translation
- information extraction
- natural language processing
- learning algorithm
- conditional random fields
- named entities
- learning process
- active learning
- text summarization
- cross language
- knowledge base
- parallel corpora
- translation model
- reinforcement learning
- maximum entropy
- query translation
- text classification
- graphical models
- cross lingual information retrieval