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: CoRR (2021)
Keyphrases
- cross lingual
- information extraction
- machine translation
- event extraction
- language independent
- language modeling
- cross lingual information retrieval
- cross language
- natural language processing
- translation model
- named entity recognition
- named entities
- parallel corpora
- information retrieval
- cross language information retrieval
- text mining
- parallel corpus
- word sense disambiguation
- mono lingual
- text classification
- natural language
- document clustering
- text documents
- language model
- learning algorithm
- machine learning
- transfer learning
- question answering
- web documents
- machine translation system
- digital libraries
- open domain