SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition.
Fabian David SchmidtIvan VulicGoran GlavasPublished in: EMNLP (2022)
Keyphrases
- fine tuning
- cross lingual
- named entity recognition
- information extraction
- machine translation
- natural language processing
- transfer learning
- named entities
- maximum entropy
- text summarization
- language modeling
- cross language
- semi supervised
- conditional random fields
- relation extraction
- text classification
- query translation
- text mining
- news articles
- parallel corpora
- machine learning
- labeled data
- word segmentation
- information retrieval
- document clustering
- query expansion
- natural language
- reinforcement learning
- text documents
- language model
- translation model