Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction.
Mahsa YarmohammadiShijie WuMarc MaroneHaoran XuSeth EbnerGuanghui QinYunmo ChenJialiang GuoCraig HarmanKenton MurrayAaron Steven WhiteMark DredzeBenjamin Van DurmePublished in: EMNLP (1) (2021)
Keyphrases
- cross lingual
- information extraction
- machine translation
- event extraction
- language independent
- cross lingual information retrieval
- language modeling
- natural language processing
- cross language
- information retrieval
- translation model
- text classification
- parallel corpus
- parallel corpora
- named entity recognition
- question answering
- text processing
- word sense
- cross language information retrieval
- statistical machine translation
- transfer learning
- open domain
- text mining
- named entities
- document clustering
- chinese english
- mono lingual