CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation.
Jian YangShaohan HuangShuming MaYuwei YinLi DongDongdong ZhangHongcheng GuoZhoujun LiFuru WeiPublished in: EMNLP (Findings) (2022)
Keyphrases
- cross lingual
- named entity recognition
- machine translation
- information extraction
- natural language processing
- cross lingual information retrieval
- cross language
- translation model
- named entities
- query translation
- parallel corpus
- language independent
- parallel corpora
- text summarization
- cross language information retrieval
- conditional random fields
- statistical machine translation
- chinese english
- machine translation system
- semi supervised
- natural language
- out of vocabulary
- maximum entropy
- target language
- language modeling
- relation extraction
- word sense disambiguation
- text mining
- comparable corpora
- question answering
- source language
- bilingual dictionaries
- text classification
- supervised learning
- word segmentation
- data mining
- information retrieval
- training data
- probabilistic model
- hidden markov models
- training set
- document collections
- transfer learning
- artificial intelligence
- document clustering
- news articles
- machine learning